Systems and methods for characterizing and managing driving behavior in the context of a network of moving things, including for use in autonomous vehicles

ABSTRACT

Various aspects of this disclosure provide communication network architectures, systems, and methods for supporting a network of mobile nodes that includes. Some non-limiting examples are communication network architectures, systems, and methods for supporting a dynamically configurable communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things). The disclosure further provides characterizing and managing driving behavior in the context of a network of moving things, including for use in autonomous vehicles.

CROSS-REFERENCE TO RELATED APPLICATIONS/INCORPORATION BY REFERENCE

This patent application makes reference to, claims priority to, andclaims benefit from U.S. Provisional Patent Application Ser. No.62/465,920, filed on Mar. 2, 2017, and titled “SYSTEMS AND METHODS FORCHARACTERIZING AND MANAGING DRIVING BEHAVIOR IN THE CONTEXT OF A NETWORKOF MOVING THINGS, INCLUDING FOR USE IN AUTONOMOUS VEHICLES,” which ishereby incorporated herein by reference in its entirety.

This patent application makes reference to, claims priority to, andclaims benefit from U.S. Provisional Patent Application Ser. No.62/222,192, filed on Sep. 22, 2015, and titled “Communication Network ofMoving Things,” which is hereby incorporated herein by reference in itsentirety. The present application is also related to U.S. ProvisionalApplication Ser. No. 62/221,997, titled “Integrated CommunicationNetwork for a Network of Moving Things,” filed on Sep. 22, 2015; U.S.Provisional Application Ser. No. 62/222,016, titled “Systems and Methodsfor Synchronizing a Network of Moving Things,” filed on Sep. 22, 2015;U.S. Provisional Application Ser. No. 62/222,042, titled “Systems andMethods for Managing a Network of Moving Things,” filed on Sep. 22,2015; U.S. Provisional Application Ser. No. 62/222,066, titled “Systemsand Methods for Monitoring a Network of Moving Things,” filed on Sep.22, 2015; U.S. Provisional Application Ser. No. 62/222,077, titled“Systems and Methods for Detecting and Classifying Anomalies in aNetwork of Moving Things,” filed on Sep. 22, 2015; U.S. ProvisionalApplication Ser. No. 62/222,098, titled “Systems and Methods forManaging Mobility in a Network of Moving Things,” filed on Sep. 22,2015; U.S. Provisional Application Ser. No. 62/222,121, titled “Systemsand Methods for Managing Connectivity a Network of Moving Things,” filedon Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,135,titled “Systems and Methods for Collecting Sensor Data in a Network ofMoving Things,” filed on Sep. 22, 2015; U.S. Provisional ApplicationSer. No. 62/222,145, titled “Systems and Methods for Interfacing with aNetwork of Moving Things,” filed on Sep. 22, 2015; U.S. ProvisionalApplication Ser. No. 62/222,150, titled “Systems and Methods forInterfacing with a User of a Network of Moving Things,” filed on Sep.22, 2015; U.S. Provisional Application Ser. No. 62/222,168, titled“Systems and Methods for Data Storage and Processing for a Network ofMoving Things,” filed on Sep. 22, 2015; U.S. Provisional ApplicationSer. No. 62/222,183, titled “Systems and Methods for Vehicle TrafficManagement in a Network of Moving Things,” filed on Sep. 22, 2015; U.S.Provisional Application Ser. No. 62/222,186, titled “Systems and Methodsfor Environmental Management in a Network of Moving Things,” filed onSep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,190, titled“Systems and Methods for Port Management in a Network of Moving Things,”filed on Sep. 22, 2015; U.S. Provisional Patent Application Ser. No.62/222,192, titled “Communication Network of Moving Things,” filed onSep. 22, 2015; U.S. Provisional Application Ser. No. 62/244,828, titled“Utilizing Historical Data to Correct GPS Data in a Network of MovingThings,” filed on Oct. 22, 2015; U.S. Provisional Application Ser. No.62/244,930, titled “Using Anchors to Correct GPS Data in a Network ofMoving Things,” filed on Oct. 22, 2015; U.S. Provisional ApplicationSer. No. 62/246,368, titled “Systems and Methods for Inter-ApplicationCommunication in a Network of Moving Things,” filed on Oct. 26, 2015;U.S. Provisional Application Ser. No. 62/246,372, titled “Systems andMethods for Probing and Validating Communication in a Network of MovingThings,” filed on Oct. 26, 2015; U.S. Provisional Application Ser. No.62/250,544, titled “Adaptive Rate Control for Vehicular Networks,” filedon Nov. 4, 2015; U.S. Provisional Application Ser. No. 62/273,878,titled “Systems and Methods for Reconfiguring and Adapting Hardware in aNetwork of Moving Things,” filed on Dec. 31, 2015; U.S. ProvisionalApplication Ser. No. 62/253,249, titled “Systems and Methods forOptimizing Data Gathering in a Network of Moving Things,” filed on Nov.10, 2015; U.S. Provisional Application Ser. No. 62/257,421, titled“Systems and Methods for Delay Tolerant Networking in a Network ofMoving Things,” filed on Nov. 19, 2015; U.S. Provisional ApplicationSer. No. 62/265,267, titled “Systems and Methods for Improving Coverageand Throughput of Mobile Access Points in a Network of Moving Things,”filed on Dec. 9, 2015; U.S. Provisional Application Ser. No. 62/270,858,titled “Channel Coordination in a Network of Moving Things,” filed onDec. 22, 2015; U.S. Provisional Application Ser. No. 62/257,854, titled“Systems and Methods for Network Coded Mesh Networking in a Network ofMoving Things,” filed on Nov. 20, 2015; U.S. Provisional ApplicationSer. No. 62/260,749, titled “Systems and Methods for Improving FixedAccess Point Coverage in a Network of Moving Things,” filed on Nov. 30,2015; U.S. Provisional Application Ser. No. 62/273,715, titled “Systemsand Methods for Managing Mobility Controllers and Their NetworkInteractions in a Network of Moving Things,” filed on Dec. 31, 2015;U.S. Provisional Application Ser. No. 62/281,432, titled “Systems andMethods for Managing and Triggering Handovers of Mobile Access Points ina Network of Moving Things,” filed on Jan. 21, 2016; U.S. ProvisionalApplication Ser. No. 62/268,188, titled “Captive Portal-related Controland Management in a Network of Moving Things,” filed on Dec. 16, 2015;U.S. Provisional Application Ser. No. 62/270,678, titled “Systems andMethods to Extrapolate High-Value Data from a Network of Moving Things,”filed on Dec. 22, 2015; U.S. Provisional Application Ser. No.62/272,750, titled “Systems and Methods for Remote Software Update andDistribution in a Network of Moving Things,” filed on Dec. 30, 2015;U.S. Provisional Application Ser. No. 62/278,662, titled “Systems andMethods for Remote Configuration Update and Distribution in a Network ofMoving Things,” filed on Jan. 14, 2016; U.S. Provisional ApplicationSer. No. 62/286,243, titled “Systems and Methods for Adapting a Networkof Moving Things Based on User Feedback,” filed on Jan. 22, 2016; U.S.Provisional Application Ser. No. 62/278,764, titled “Systems and Methodsto Guarantee Data Integrity When Building Data Analytics in a Network ofMoving Things,” Jan. 14, 2016; U.S. Provisional Application Ser. No.62/286,515, titled “Systems and Methods for Self-Initialization andAutomated Bootstrapping of Mobile Access Points in a Network of MovingThings,” filed on Jan. 25, 2016; U.S. Provisional Application Ser. No.62/295,602, titled “Systems and Methods for Power Management in aNetwork of Moving Things,” filed on Feb. 16, 2016; and U.S. ProvisionalApplication Ser. No. 62/299,269, titled “Systems and Methods forAutomating and Easing the Installation and Setup of the InfrastructureSupporting a Network of Moving Things,” filed on Feb. 24, 2016; each ofwhich is hereby incorporated herein by reference in its entirety for allpurposes.

BACKGROUND

Current communication networks are unable to adequately supportcommunication environments involving mobile and static nodes. As anon-limiting example, current communication networks are unable toadequately support a network comprising a complex array of both movingand static nodes (e.g., the Internet of moving things, autonomousvehicle networks, etc.). Limitations and disadvantages of conventionalmethods and systems will become apparent to one of skill in the art,through comparison of such approaches with some aspects of the presentmethods and systems set forth in the remainder of this disclosure withreference to the drawings.

BRIEF DESCRIPTION OF SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 shows a block diagram of a communication network, in accordancewith various aspects of this disclosure.

FIG. 2 shows a block diagram of a communication network, in accordancewith various aspects of this disclosure.

FIG. 3 shows a diagram of a metropolitan area network, in accordancewith various aspects of this disclosure.

FIG. 4 shows a block diagram of a communication network, in accordancewith various aspects of this disclosure.

FIGS. 5A-5C show a plurality of network configurations illustrating theflexibility and/or and resiliency of a communication network, inaccordance with various aspects of this disclosure.

FIG. 6 shows a block diagram of an example communication network, inaccordance with various aspects of the present disclosure.

FIG. 7 shows a diagram of an example view of gathering and processingdriving related data, in accordance with various aspects of the presentdisclosure.

FIG. 8 shows a diagram of an example for gathering driving related data,in accordance with various aspects of the present disclosure.

FIG. 9A shows an example diagram for processing driving related data inthe Cloud, in accordance with various aspects of the present disclosure.

FIG. 9B shows an example block diagram for processing driving relateddata in the vehicle, in accordance with various aspects of the presentdisclosure.

FIG. 10 shows a diagram of an example of a real-time driving feedback,in accordance with various aspects of the present disclosure.

FIGS. 11A-11D show diagrams of an example of generating and using adriving behavior model, in accordance with various aspects of thepresent disclosure.

FIG. 12 shows a flow diagram of an example method of generating adriving behavior model, in accordance with various aspects of thepresent disclosure.

FIG. 13 shows a flow diagram of an example method of communicating withthe Cloud, in accordance with various aspects of the present disclosure.

FIG. 14 shows a flow diagram of an example method of providing guidanceto a driver, in accordance with various aspects of the presentdisclosure.

SUMMARY

Various aspects of this disclosure provide communication networkarchitectures, systems and methods for supporting a network of mobileand/or static nodes. As a non-limiting example, various aspects of thisdisclosure provide communication network architectures, systems, andmethods for supporting a dynamically configurable communication networkcomprising a complex array of both static and moving communication nodes(e.g., the Internet of moving things, autonomous vehicle networks,etc.). For example, a communication network implemented in accordancewith various aspects of the present disclosure may operate in one of aplurality of modalities comprising various fixed nodes, mobile nodes,and/or a combination thereof, which are selectable to achieve any of avariety of system goals.

DETAILED DESCRIPTION OF VARIOUS ASPECTS OF THE DISCLOSURE

As utilized herein the terms “circuits” and “circuitry” refer tophysical electronic components (i.e., hardware) and any software and/orfirmware (“code”) that may configure the hardware, be executed by thehardware, and or otherwise be associated with the hardware. As usedherein, for example, a particular processor and memory (e.g., a volatileor non-volatile memory device, a general computer-readable medium, etc.)may comprise a first “circuit” when executing a first one or more linesof code and may comprise a second “circuit” when executing a second oneor more lines of code. Additionally, a circuit may comprise analogand/or digital circuitry. Such circuitry may, for example, operate onanalog and/or digital signals. It should be understood that a circuitmay be in a single device or chip, on a single motherboard, in a singlechassis, in a plurality of enclosures at a single geographical location,in a plurality of enclosures distributed over a plurality ofgeographical locations, etc. Similarly, the term “module” may, forexample, refer to a physical electronic components (i.e., hardware) andany software and/or firmware (“code”) that may configure the hardware,be executed by the hardware, and or otherwise be associated with thehardware.

As utilized herein, circuitry is “operable” to perform a functionwhenever the circuitry comprises the necessary hardware and code (if anyis necessary) to perform the function, regardless of whether performanceof the function is disabled, or not enabled (e.g., by auser-configurable setting, factory setting or trim, etc.).

As utilized herein, “and/or” means any one or more of the items in thelist joined by “and/or.” As an example, “x and/or y” means any elementof the three-element set {(x), (y), (x, y)}. That is, “x and/or y” means“one or both of x and y.” As another example, “x, y, and/or z” means anyelement of the seven-element set {(x), (y), (z), (x, y), (x, z), (y, z),(x, y, z)}. That is, “x, y, and/or z” means “one or more of x, y, andz.” As utilized herein, the terms “e.g.,” and “for example,”“exemplary,” and the like set off lists of one or more non-limitingexamples, instances, or illustrations.

The terminology used herein is for the purpose of describing particularexamples only and is not intended to be limiting of the disclosure. Asused herein, the singular forms are intended to include the plural formsas well, unless the context clearly indicates otherwise. It will befurther understood that the terms “comprises,” “includes,” “comprising,”“including,” “has,” “have,” “having,” and the like when used in thisspecification, specify the presence of stated features, integers, steps,operations, elements, and/or components, but do not preclude thepresence or addition of one or more other features, integers, steps,operations, elements, components, and/or groups thereof.

It will be understood that, although the terms first, second, etc. maybe used herein to describe various elements, these elements should notbe limited by these terms. These terms are only used to distinguish oneelement from another element. Thus, for example, a first element, afirst component, or a first section discussed below could be termed asecond element, a second component, or a second section withoutdeparting from the teachings of the present disclosure. Similarly,various spatial terms, such as “upper,” “lower,” “side,” and the like,may be used in distinguishing one element from another element in arelative manner. It should be understood, however, that components maybe oriented in different manners, for example an electronic device maybe turned sideways so that its “top” surface is facing horizontally andits “side” surface is facing vertically, without departing from theteachings of the present disclosure.

With the proliferation of the mobile and/or static things (e.g.,devices, machines, people, etc.) and logistics for such things to becomeconnected to each other (e.g., in the contexts of smart logistics,transportation, environmental sensing, etc.), a platform that is forexample always-on, robust, scalable and secure that is capable ofproviding connectivity, services and Internet access to such things (orobjects), anywhere and anytime is desirable. Efficient power utilizationwithin the various components of such system is also desirable.

Accordingly, various aspects of the present disclosure provide afully-operable, always-on, responsive, robust, scalable, secureplatform/system/architecture to provide connectivity, services andInternet access to all mobile things and/or static things (e.g.,devices, machines, people, access points, end user devices, sensors,etc.) anywhere and anytime, while operating in an energy-efficientmanner.

Various aspects of the present disclosure provide a platform that isflexibly configurable and adaptable to the various requirements,features, and needs of different environments, where each environmentmay be characterized by a respective level of mobility and density ofmobile and/or static things, and the number and/or types of access tothose things. Characteristics of various environments may, for example,include high mobility of nodes (e.g., causing contacts or connections tobe volatile), high number of neighbors, high number of connected mobileusers, mobile access points, availability of multiple networks andtechnologies (e.g., sometimes within a same area), etc. For example, themode of operation of the platform may be flexibly adapted fromenvironment to environment, based on each environment's respectiverequirements and needs, which may be different from other environments.Additionally for example, the platform may be flexibly optimized (e.g.,at design/installation time and/or in real-time) for different purposes(e.g., to reduce the latency, increase throughput, reduce powerconsumption, load balance, increase reliability, make more robust withregard to failures or other disturbances, etc.), for example based onthe content, service or data that the platform provides or handleswithin a particular environment.

In accordance with various aspects of the present disclosure, manycontrol and management services (e.g., mobility, security, routing,etc.) are provided on top of the platform (e.g., directly, using controloverlays, using containers, etc.), such services being compatible withthe services currently deployed on top of the Internet or othercommunication network(s).

The communication network (or platform), in whole or in part, may forexample be operated in public and/or private modes of operation, forexample depending on the use case. The platform may, for example,operate in a public or private mode of operation, depending on theuse-case (e.g., public Internet access, municipal environment sensing,fleet operation, etc.).

Additionally for example, in an implementation in which various networkcomponents are mobile, the transportation and/or signal controlmechanisms may be adapted to serve the needs of the particularimplementation. Also for example, wireless transmission power and/orrate may be adapted (e.g., to mitigate interference, to reduce powerconsumption, to extend the life of network components, etc.

Various example implementations of a platform, in accordance withvarious aspects of the present disclosure, are capable of connectingdifferent subsystems, even when various other subsystems that maynormally be utilized are unavailable. For example, the platform maycomprise various built-in redundancies and fail-recovery mechanisms. Forexample, the platform may comprise a self-healing capability,self-configuration capability, self-adaptation capability, etc. Theprotocols and functions of the platform may, for example, be prepared tobe autonomously and smoothly configured and adapted to the requirementsand features of different environments characterized by different levelsof mobility and density of things (or objects), the number/types ofaccess to those things. For example, various aspects of the platform maygather context parameters that can influence any or all decisions. Suchparameters may, for example, be derived locally, gathered from aneighborhood, fixed APs, the Cloud, etc. Various aspects of the platformmay also, for example, ask for historical information to feed any of thedecisions, where such information can be derived from historical data,from surveys, from simulators, etc. Various aspects of the platform mayadditionally, for example, probe or monitor decisions made throughoutthe network, for example to evaluate the network and/or the decisionsthemselves in real-time. Various aspects of the platform may further,for example, enforce the decisions in the network (e.g., afterevaluating the probing results). Various aspects of the platform may,for example, establish thresholds to avoid any decision that is to beconstantly or repeatedly performed without any significant advantage(e.g., technology change, certificate change, IP change, etc.). Variousaspects of the platform may also, for example, learn locally (e.g., withthe decisions performed) and dynamically update the decisions.

In addition to (or instead of) failure robustness, a platform mayutilize multiple connections (or pathways) that exist between distinctsub-systems or elements within the same sub-system, to increase therobustness and/or load-balancing of the system.

The following discussion will present examples of the functionalityperformed by various example subsystems of the communication network. Itshould be understood that the example functionality discussed hereinneed not be performed by the particular example subsystem or by a singlesubsystem. For example, the subsystems present herein may interact witheach other, and data or control services may be deployed either in acentralized way, or having their functionalities distributed among thedifferent subsystems, for example leveraging the cooperation between theelements of each subsystem.

Various aspects of the present disclosure provide a communicationnetwork (e.g., a city-wide vehicular network, a shipping port-sizedvehicular network, a campus-wide vehicular network, etc.) that utilizesvehicles (e.g., automobiles, buses, trucks, boats, forklifts,human-operated vehicles, autonomous and/or remote controlled vehicles,etc.) as Wi-Fi hotspots. Note that Wi-Fi is generally used throughoutthis discussion as an example, but the scope of various aspects of thisdisclosure is not limited thereto. For example, other wireless LANtechnologies, PAN technologies, MAN technologies, etc., may be utilized.Such utilization may, for example, provide cost-effective ways to gathersubstantial amounts of urban data, and provide for the efficientoffloading of traffic from congested cellular networks (or othernetworks). In controlled areas (e.g., ports, harbors, etc.) with manyvehicles, a communication network in accordance with various aspects ofthis disclosure may expand the wireless coverage of existing enterpriseWi-Fi networks, for example providing for real-time communication withvehicle drivers (e.g., human, computer-controlled, etc.) and othermobile employees without the need for SIM cards or cellular (or othernetwork) data plans.

Vehicles may have many advantageous characteristics that make themuseful as Wi-Fi (or general wireless) hotspots. For example, vehiclesgenerally have at least one battery, vehicles are generally denselyspread over the city at street level and/or they are able to establishmany contacts with each other in a controlled space, and vehicles cancommunicate with 10× the range of normal Wi-Fi in the 5.9 GHz frequencyband, reserved for intelligent transportation systems in the EU, theU.S., and elsewhere. Note that the scope of this disclosure is notlimited to such 5.9 GHz wireless communication. Further, vehicles areable to effectively expand their coverage area into a swath over aperiod of time, enabling a single vehicle access point to interact withsubstantially more data sources over the period of time.

In accordance with various aspects of the present disclosure, anaffordable multi-network on-board unit (OBU) is presented. Note that theOBU may also be referred to herein as a mobile access point, Mobile AP,MAP, etc. The OBU may, for example, comprise a plurality of networkinginterfaces (e.g., Wi-Fi, 802.11p, 4G, Bluetooth, UWB, etc.). The OBUmay, for example, be readily installed in or on private and/or publicvehicles (e.g., individual user vehicles, vehicles of private fleets,vehicles of public fleets, etc.). The OBU may, for example, be installedin transportation fleets, waste management fleets, law enforcementfleets, emergency services, road maintenance fleets, taxi fleets,aircraft fleets, etc. The OBU may, for example, be installed in or on avehicle or other structure with free mobility or relatively limitedmobility. The OBU may also, for example, be carried by a person orservice animal, mounted to a bicycle, mounted to a moving machine ingeneral, mounted to a container, etc.

The OBUs may, for example, operate to connect passing vehicles to thewired infrastructure of one or more network providers, telecomoperators, etc. In accordance with the architecture, hardware, andsoftware functionality discussed herein, vehicles and fleets can beconnected not just to the cellular networks (or other wide area ormetropolitan area networks, etc.) and existing Wi-Fi hotspots spreadover a city or a controlled space, but also to other vehicles (e.g.,utilizing multi-hop communications to a wired infrastructure, single ormulti-hop peer-to-peer vehicle communication, etc.). The vehicles and/orfleets may, for example, form an overall mesh of communication links,for example including the OBUs and also fixed Access Points (APs)connected to the wired infrastructure (e.g., a local infrastructure,etc.). Note that OBUs herein may also be referred to as “Mobile APs,”“mobile hotspots,” “MAPs,” etc. Also note that fixed access points mayalso be referred to herein as Road Side Units (RSUs), Fixed APs, FAPs,etc.

In an example implementation, the OBUs may communicate with the FixedAPs utilizing a relatively long-range protocol (e.g., 802.11p, etc.),and the Fixed APs may, in turn, be hard wired to the wiredinfrastructure (e.g., via cable, tethered optical link, etc.). Note thatFixed APs may also, or alternatively, be coupled to the infrastructurevia wireless link (e.g., 802.11p, etc.). Additionally, clients or userdevices may communicate with the OBUs using one or more relativelyshort-range protocols (e.g., Wi-Fi, Bluetooth, UWB, etc.). The OBUs, forexample having a longer effective wireless communication range thantypical Wi-Fi access points or other wireless LAN/PAN access points(e.g., at least for links such as those based on 802.11p, etc.), arecapable of substantially greater coverage areas than typical Wi-Fi orother wireless LAN/PAN access points, and thus fewer OBUs are necessaryto provide blanket coverage over a geographical area.

The OBU may, for example, comprise a robust vehicular networking module(e.g., a connection manager) which builds on long-range communicationprotocol capability (e.g., 802.11p, etc.). For example, in addition tocomprising 802.11p (or other long-range protocol) capability tocommunicate with Fixed APs, vehicles, and other nodes in the network,the OBU may comprise a network interface (e.g., 802.11a/b/g/n, 802.11ac,802.11af, any combination thereof, etc.) to provide wireless local areanetwork (WLAN) connectivity to end user devices, sensors, fixed Wi-Fiaccess points, etc. For example, the OBU may operate to providein-vehicle Wi-Fi Internet access to users in and/or around the vehicle(e.g., a bus, train car, taxi cab, public works vehicle, etc.). The OBUmay further comprise one or more wireless backbone communicationinterfaces (e.g., cellular network interfaces, etc.). Though in variousexample scenarios, a cellular network interface (or other wirelessbackbone communication interface) might not be the preferred interfacefor various reasons (e.g., cost, power, bandwidth, etc.), the cellularnetwork interface may be utilized to provide connectivity ingeographical areas that are not presently supported by a Fixed AP, maybe utilized to provide a fail-over communication link, may be utilizedfor emergency communications, may be utilized to subscribe to localinfrastructure access, etc. The cellular network interface may also, forexample, be utilized to allow the deployment of solutions that aredependent on the cellular network operators.

An OBU, in accordance with various aspects of the present disclosure,may for example comprise a smart connection manager that can select thebest available wireless link(s) (e.g., Wi-Fi, 802.11p, cellular, vehiclemesh, etc.) with which to access the Internet. The OBU may also, forexample, provide geo-location capabilities (e.g., GPS, etc.), motiondetection sensors to determine if the vehicle is in motion, and a powercontrol subsystem (e.g., to ensure that the OBU does not deplete thevehicle battery, etc.). The OBU may, for example, comprise any or all ofthe sensors (e.g., environmental sensors, etc.) discussed herein.

The OBU may also, for example, comprise a manager that managesmachine-to-machine data acquisition and transfer (e.g., in a real-timeor delay-tolerant fashion) to and from the cloud. For example, the OBUmay log and/or communicate information of the vehicles.

The OBU may, for example, comprise a connection and/or routing managerthat operates to perform routing of communications in avehicle-to-vehicle/vehicle-to-infrastructure multi-hop communication. Amobility manager (or controller, MC) may, for example, ensure thatcommunication sessions persist over one or more handoff(s) (alsoreferred to herein as a “handover” or “handovers”) (e.g., betweendifferent Mobile APs, Fixed APs, base stations, hot spots, etc.), amongdifferent technologies (e.g., 802.11p, cellular, Wi-Fi, satellite,etc.), among different MCs (e.g., in a fail-over scenario, loadredistribution scenario, etc.), across different interfaces (or ports),etc. Note that the MC may also be referred to herein as a Local MobilityAnchor (LMA), a Network Controller, etc. Note that the MC, or aplurality thereof, may for example be implemented as part of thebackbone, but may also, or alternatively, be implemented as part of anyof a variety of components or combinations thereof. For example, the MCmay be implemented in a Fixed AP (or distributed system thereof), aspart of an OBU (or a distributed system thereof), etc. Variousnon-limiting examples of system components and/or methods are providedin U.S. Provisional Application No. 62/222,098, filed Sep. 22, 2015, andtitled “Systems and Method for Managing Mobility in a Network of MovingThings,” the entire contents of which are hereby incorporated herein byreference. Note that in an example implementation including a pluralityof MCs, such MCs may be co-located and/or may be geographicallydistributed.

Various aspects of the present disclosure also provide a cloud-basedservice-oriented architecture that handles the real-time management,monitoring and reporting of the network and clients, the functionalitiesrequired for data storage, processing and management, the Wi-Fi clientauthentication and Captive Portal display, etc.

A communication network (or component thereof) in accordance withvarious aspects of the present disclosure may, for example, support awide range of smart city applications (or controlled scenarios, orconnected scenarios, etc.) and/or use-cases, as described herein.

For example, an example implementation may operate to turn each vehicle(e.g., both public and private taxis, buses, trucks, etc.) into a MobileAP (e.g., a mobile Wi-Fi hotspot), offering Internet access toemployees, passengers and mobile users travelling in the city, waitingin bus stops, sitting in parks, etc. Moreover, through an examplevehicular mesh network formed between vehicles and/or fleets ofvehicles, an implementation may be operable to offload cellular trafficthrough the mobile Wi-Fi hotspots and/or fixed APs (e.g., 802.11p-basedAPs) spread over the city and connected to the wired infrastructure ofpublic or private telecom operators in strategic places, while ensuringthe widest possible coverage at the lowest possible cost.

An example implementation (e.g., of a communication network and/orcomponents thereof) may, for example, be operable as a massive urbanscanner that gathers large amounts of data (e.g., continuously)on-the-move, actionable or not, generated by a myriad of sourcesspanning from the in-vehicle sensors or On Board Diagnostic System port(e.g., OBD2, etc.), interface with an autonomous vehicle driving system,external Wi-Fi/Bluetooth-enabled sensing units spread over the city,devices of vehicles' drivers and passengers (e.g., informationcharacterizing such devices and/or passengers, etc.), positioning systemdevices (e.g., position information, velocity information, trajectoryinformation, travel history information, etc.), etc.

Depending on the use case, the OBU may for example process (or computer,transform, manipulate, aggregate, summarize, etc.) the data beforesending the data from the vehicle, for example providing the appropriategranularity (e.g., value resolution) and sampling rates (e.g., temporalresolution) for each individual application. For example, the OBU may,for example, process the data in any manner deemed advantageous by thesystem. The OBU may, for example, send the collected data (e.g., rawdata, preprocessed data, information of metrics calculated based on thecollected data, etc.) to the Cloud (e.g., to one or more networkedservers coupled to any portion of the network) in an efficient andreliable manner to improve the efficiency, environmental impact andsocial value of municipal city operations and transportation services.Various example use cases are described herein.

In an example scenario in which public buses are moving along cityroutes and/or taxis are performing their private transportationservices, the OBU is able to collect large quantities of real-time datafrom the positioning systems (e.g., GPS, etc.), from accelerometermodules, etc. The OBU may then, for example, communicate such data tothe Cloud, where the data may be processed, reported and viewed, forexample to support such public or private bus and/or taxi operations,for example supporting efficient remote monitoring and scheduling ofbuses and taxis, respectively.

In an example implementation, small cameras (or other sensors) may becoupled to small single-board computers (SBCs) that are placed above thedoors of public buses to allow capturing image sequences of peopleentering and leaving buses, and/or on stops along the bus routes inorder to estimate the number of people waiting for a bus. Such data maybe gathered by the OBU in order to be sent to the Cloud. With such data,public transportation systems may detect peaks; overcrowded buses,routes and stops; underutilized buses, routes and stops; etc., enablingaction to be taken in real-time (e.g., reducing bus periodicity todecrease fuel costs and CO₂ emissions where and when passenger flows aresmaller, etc.) as well as detecting systematic transportation problems.

An OBU may, for example, be operable to communicate with any of avariety of Wi-Fi-enabled sensor devices equipped with a heterogeneouscollection of environmental sensors. Such sensors may, for example,comprise noise sensors (microphones, etc.), gas sensors (e.g., sensingCO, NO₂, O₃, volatile organic compounds (or VOCs), CO₂, etc.), smokesensors, pollution sensors, meteorological sensors (e.g., sensingtemperature, humidity, luminosity, particles, solar radiation, windspeed (e.g., anemometer), wind direction, rain (e.g., a pluviometer),optical scanners, biometric scanners, cameras, microphones, etc.). Suchsensors may also comprise sensors associated with users (e.g., vehicleoperators or passengers, passersby, etc.) and/or their personal devices(e.g., smart phones or watches, biometrics sensors, wearable sensors,implanted sensors, etc.). Such sensors may, for example, comprisesensors and/or systems associated with on-board diagnostic (OBD) unitsfor vehicles, autonomous vehicle driving systems, etc. Such sensors may,for example, comprise positioning sensors (e.g., GPS sensors, Galileosensors, GLONASS sensors, etc.). Note that such positioning sensors maybe part of a vehicle's operational system (e.g., a localhuman-controlled vehicle, an autonomous vehicle, a remotehuman-controlled vehicle, etc.) Such sensors may, for example, comprisecontainer sensors (e.g., garbage can sensors, shipping containersensors, container environmental sensors, container tracking sensors,etc.).

Once a vehicle enters the vicinity of such a sensor device, a wirelesslink may be established, so that the vehicle (or OBU thereof) cancollect sensor data from the sensor device and upload the collected datato a database in the Cloud. The appropriate action can then be taken. Inan example waste management implementation, several waste management (orcollection) trucks may be equipped with OBUs that are able toperiodically communicate with sensors installed on containers in orderto gather information about waste level, time passed since lastcollection, etc. Such information may then sent to the Cloud (e.g., to awaste management application coupled to the Internet, etc.) through thevehicular mesh network, in order to improve the scheduling and/orrouting of waste management trucks. Note that various sensors may alwaysbe in range of the Mobile AP (e.g., vehicle-mounted sensors). Note thatthe sensor may also (or alternatively) be mobile (e.g., a sensor mountedto another vehicle passing by a Mobile AP or Fixed AP, a drone-mountedsensor, a pedestrian-mounted sensor, etc.).

In an example implementation, for example in a controlled space (e.g., aport, harbor, airport, factory, plantation, mine, etc.) with manyvehicles, machines and employees, a communication network in accordancewith various aspects of the present disclosure may expand the wirelesscoverage of enterprise and/or local Wi-Fi networks, for example withoutresorting to a Telco-dependent solution based on SIM cards or cellularfees. In such an example scenario, apart from avoiding expensivecellular data plans, limited data rate and poor cellular coverage insome places, a communication network in accordance with various aspectsof the present disclosure is also able to collect and/or communicatelarge amounts of data, in a reliable and real-time manner, where suchdata may be used to optimize harbor logistics, transportationoperations, etc.

For example in a port and/or harbor implementation, by gatheringreal-time information on the position, speed, fuel consumption and CO₂emissions of the vehicles, the communication network allows a portoperator to improve the coordination of the ship loading processes andincrease the throughput of the harbor. Also for example, thecommunication network enables remote monitoring of drivers' behaviors,behaviors of autonomous vehicles and/or control systems thereof, trucks'positions and engines' status, and then be able to provide real-timenotifications to drivers (e.g., to turn on/off the engine, follow theright route inside the harbor, take a break, etc.), for example humandrivers and/or automated vehicle driving systems, thus reducing thenumber and duration of the harbor services and trips. Harbor authoritiesmay, for example, quickly detect malfunctioning trucks and abnormaltrucks' circulation, thus avoiding accidents in order to increase harborefficiency, security, and safety. Additionally, the vehicles can alsoconnect to Wi-Fi access points from harbor local operators, and provideWi-Fi Internet access to vehicles' occupants and surrounding harboremployees, for example allowing pilots to save time by filing reportsvia the Internet while still on the water.

FIG. 1 shows a block diagram of a communication network 100, inaccordance with various aspects of this disclosure. Any or all of thefunctionality discussed herein may be performed by any or all of theexample components of the example network 100. Also, the example network100 may, for example, share any or all characteristics with the otherexample networks and/or network components 200, 300, 400, 500-570, and600, discussed herein.

The example network 100, for example, comprises a Cloud that may, forexample comprise any of a variety of network level components. The Cloudmay, for example, comprise any of a variety of server systems executingapplications that monitor and/or control components of the network 100.Such applications may also, for example, manage the collection ofinformation from any of a large array of networked information sources,many examples of which are discussed herein. The Cloud (or a portionthereof) may also be referred to, at times, as an API. For example,Cloud (or a portion thereof) may provide one or more applicationprogramming interfaces (APIs) which other devices may use forcommunicating/interacting with the Cloud.

An example component of the Cloud may, for example, manageinteroperability with various multi-cloud systems and architectures.Another example component (e.g., a Cloud service component) may, forexample, provide various cloud services (e.g., captive portal services,authentication, authorization, and accounting (AAA) services, APIGateway services, etc.). An additional example component (e.g., aDevCenter component) may, for example, provide network monitoring and/ormanagement functionality, manage the implementation of software updates,etc. A further example component of the Cloud may manage data storage,data analytics, data access, etc. A still further example component ofthe Cloud may include any of a variety of third-partly applications andservices.

The Cloud may, for example, be coupled to the Backbone/CoreInfrastructure of the example network 100 via the Internet (e.g.,utilizing one or more Internet Service Providers). Though the Internetis provided by example, it should be understood that scope of thepresent disclosure is not limited thereto.

The Backbone/Core may, for example, comprise any one or more differentcommunication infrastructure components. For example, one or moreproviders may provide backbone networks or various components thereof.As shown in the example network 100 illustrated in FIG. 1, a Backboneprovider may provide wireline access (e.g., PSTN, fiber, cable, etc.).Also for example, a Backbone provider may provide wireless access (e.g.,Microwave, LTE/Cellular, 5G/TV Spectrum, etc.).

The Backbone/Core may also, for example, comprise one or more LocalInfrastructure Providers. The Backbone/Core may also, for example,comprise a private infrastructure (e.g., run by the network 100implementer, owner, etc.). The Backbone/Core may, for example, provideany of a variety of Backbone Services (e.g., AAA, Mobility, Monitoring,Addressing, Routing, Content services, Gateway Control services, etc.).

The Backbone/Core Infrastructure may comprise any of a variety ofcharacteristics, non-limiting examples of which are provided herein. Forexample, the Backbone/Core may be compatible with different wireless orwired technologies for backbone access. The Backbone/Core may also beadaptable to handle public (e.g., municipal, city, campus, etc.) and/orprivate (e.g., ports, campus, etc.) network infrastructures owned bydifferent local providers, and/or owned by the network implementer orstakeholder. The Backbone/Core may, for example, comprise and/orinterface with different Authentication, Authorization, and Accounting(AAA) mechanisms.

The Backbone/Core Infrastructure may, for example, support differentmodes of operation (e.g., L2 in port implementations, L3 in on-landpublic transportation implementations, utilizing any one or more of aplurality of different layers of digital IP networking, any combinationsthereof, equivalents thereof, etc.) or addressing pools. TheBackbone/Core may also for example, be agnostic to the Cloud provider(s)and/or Internet Service Provider(s). Additionally for example, theBackbone/Core may be agnostic to requests coming from any or allsubsystems of the network 100 (e.g., Mobile APs or OBUs (On BoardUnits), Fixed APs or RSUs (Road Side Units), MCs (Mobility Controllers)or LMAs (Local Mobility Anchors) or Network Controllers, etc.) and/orthird-party systems.

The Backbone/Core Infrastructure may, for example, comprise the abilityto utilize and/or interface with different data storage/processingsystems (e.g., MongoDB, MySql, Redis, etc.). The Backbone/CoreInfrastructure may further, for example, provide different levels ofsimultaneous access to the infrastructure, services, data, etc.

The example network 100 may also, for example, comprise a Fixed HotspotAccess Network. Various example characteristics of such a Fixed HotspotAccess Network 200 are shown at FIG. 2. The example network 200 may, forexample, share any or all characteristics with the other examplenetworks and/or network components 100, 300, 400, 500-570, and 600,discussed herein.

In the example network 200, the Fixed APs (e.g., the proprietary APs,the public third party APs, the private third party APs, etc.) may bedirectly connected to the local infrastructure provider and/or to thewireline/wireless backbone. Also for example, the example network 200may comprise a mesh between the various APs via wireless technologies.Note, however, that various wired technologies may also be utilizeddepending on the implementation. As shown, different fixed hotspotaccess networks can be connected to a same backbone provider, but mayalso be connected to different respective backbone providers. In anexample implementation utilizing wireless technology for backboneaccess, such an implementation may be relatively fault tolerant. Forexample, a Fixed AP may utilize wireless communications to the backbonenetwork (e.g., cellular, 3G, LTE, other wide or metropolitan areanetworks, etc.) if the backhaul infrastructure is down. Also forexample, such an implementation may provide for relatively easyinstallation (e.g., a Fixed AP with no cable power source that can beplaced virtually anywhere).

In the example network 200, the same Fixed AP can simultaneously provideaccess to multiple Fixed APs, Mobile APs (e.g., vehicle OBUs, etc.),devices, user devices, sensors, things, etc. For example, a plurality ofmobile hotspot access networks (e.g., OBU-based networks, etc.) mayutilize the same Fixed AP. Also for example, the same Fixed AP canprovide a plurality of simultaneous accesses to another single unit(e.g., another Fixed AP, Mobile AP, device, etc.), for example utilizingdifferent channels, different radios, etc.).

Note that a plurality of Fixed APs may be utilized forfault-tolerance/fail-recovery purposes. In an example implementation, aFixed AP and its fail-over AP may both be normally operational (e.g., ina same switch). Also for example, one or more Fixed APs may be placed inthe network at various locations in an inactive or monitoring mode, andready to become operational when needed (e.g., in response to a fault,in response to an emergency services need, in response to a data surge,etc.).

Referring back to FIG. 1, the example Fixed Hotspot Access Network isshown with a wireless communication link to a backbone provider (e.g.,to one or more Backbone Providers and/or Local InfrastructureProviders), to a Mobile Hotspot Access Network, to one or more End UserDevices, and to the Environment. Also, the example Fixed Hotspot AccessNetwork is shown with a wired communication link to one or more BackboneProviders, to the Mobile Hotspot Access Network, to one or more End UserDevices, and to the Environment. The Environment may comprise any of avariety of devices (e.g., in-vehicle networks, devices, and sensors;autonomous vehicle networks, devices, and sensors; maritime (orwatercraft) and port networks, devices, and sensors; generalcontrolled-space networks, devices, and sensors; residential networks,devices, and sensors; disaster recovery & emergency networks, devices,and sensors; military and aircraft networks, devices, and sensors; smartcity networks, devices, and sensors; event (or venue) networks, devices,and sensors; underwater and underground networks, devices, and sensors;agricultural networks, devices, and sensors; tunnel (auto, subway,train, etc.) networks, devices, and sensors; parking networks, devices,and sensors; security and surveillance networks, devices, and sensors;shipping equipment and container networks, devices, and sensors;environmental control or monitoring networks, devices, and sensors;municipal networks, devices, and sensors; waste management networks,devices, and sensors, road maintenance networks, devices, and sensors,traffic management networks, devices, and sensors; advertising networks,devices and sensors; etc.).

The example network 100 of FIG. 1 also comprises a Mobile Hotspot AccessNetwork. Various example characteristics of such a Mobile Hotspot AccessNetwork 300 are shown at FIG. 3. Note that various fixed networkcomponents (e.g., Fixed APs) are also illustrated. The example network300 may, for example, share any or all characteristics with the otherexample networks and/or network components 100, 200, 400, 500-570, and600 discussed herein.

The example network 300 comprises a wide variety of Mobile APs (orhotspots) that provide access to user devices, provide for sensor datacollection, provide multi-hop connectivity to other Mobile APs, etc. Forexample, the example network 300 comprises vehicles from differentfleets (e.g., aerial, terrestrial, underground, (under)water, etc.). Forexample, the example network 300 comprises one or more massdistribution/transportation fleets, one or more mass passengertransportation fleets, private/public shared-user fleets, privatevehicles, urban and municipal fleets, maintenance fleets, drones,watercraft (e.g., boats, ships, speedboats, tugboats, barges, etc.),emergency fleets (e.g., police, ambulance, firefighter, etc.), etc.

The example network 300, for example, shows vehicles from differentfleets directly connected and/or mesh connected, for example using sameor different communication technologies. The example network 300 alsoshows fleets simultaneously connected to different Fixed APs, which mayor may not belong to different respective local infrastructureproviders. As a fault-tolerance mechanism, the example network 300 mayfor example comprise the utilization of long-range wirelesscommunication network (e.g., cellular, 3G, 4G, LTE, etc.) in vehicles ifthe local network infrastructure is down or otherwise unavailable. Asame vehicle (e.g., Mobile AP or OBU) can simultaneously provide accessto multiple vehicles, devices, things, etc., for example using a samecommunication technology (e.g., shared channels and/or differentrespective channels thereof) and/or using a different respectivecommunication technology for each. Also for example, a same vehicle canprovide multiple accesses to another vehicle, device, thing, etc., forexample using a same communication technology (e.g., shared channelsand/or different respective channels thereof, and/or using a differentcommunication technology).

Additionally, multiple network elements may be connected together toprovide for fault-tolerance or fail recovery, increased throughput, orto achieve any or a variety of a client's networking needs, many ofexamples of which are provided herein. For example, two Mobile APs (orOBUs) may be installed in a same vehicle, etc.

Referring back to FIG. 1, the example Mobile Hotspot Access Network isshown with a wireless communication link to a backbone provider (e.g.,to one or more Backbone Providers and/or Local InfrastructureProviders), to a Fixed Hotspot Access Network, to one or more End UserDevice, and to the Environment (e.g., to any one of more of the sensorsor systems discussed herein, any other device or machine, etc.). Thoughthe Mobile Hotspot Access Network is not shown having a wired link tothe various other components, there may (at least at times) be such awired link, at least temporarily.

The example network 100 of FIG. 1 also comprises a set of End-UserDevices. Various example end user devices are shown at FIG. 4. Note thatvarious other network components (e.g., Fixed Hotspot Access Networks,Mobile Hotspot Access Network(s), the Backbone/Core, etc.) are alsoillustrated. The example network 400 may, for example, share any or allcharacteristics with the other example networks and/or networkcomponents 100, 200, 300, 500-570, and 600, discussed herein.

The example network 400 shows various mobile networked devices. Suchnetwork devices may comprise end-user devices (e.g., smartphones,tablets, smartwatches, laptop computers, webcams, personal gamingdevices, personal navigation devices, personal media devices, personalcameras, health-monitoring devices, personal location devices,monitoring panels, printers, etc.). Such networked devices may alsocomprise any of a variety of devices operating in the generalenvironment, where such devices might not for example be associated witha particular user (e.g. any or all of the sensor devices discussedherein, vehicle sensors, municipal sensors, fleet sensors road sensors,environmental sensors, security sensors, traffic sensors, waste sensors,meteorological sensors, any of a variety of different types of municipalor enterprise equipment, etc.). Any of such networked devices can beflexibly connected to distinct backbone, fixed hotspot access networks,mobile hotspot access networks, etc., using the same or differentwired/wireless technologies.

A mobile device may, for example, operate as an AP to providesimultaneous access to multiple devices/things, which may then form adhoc networks, interconnecting devices ultimately connected to distinctbackbone networks, fixed hotspot, and/or mobile hotspot access networks.Devices (e.g., any or all of the devices or network nodes discussedherein) may, for example, have redundant technologies to access distinctbackbone, fixed hotspot, and/or mobile hotspot access networks, forexample for fault-tolerance and/or load-balancing purposes (e.g.,utilizing multiple SIM cards, etc.). A device may also, for example,simultaneously access distinct backbone, fixed hotspot access networks,and/or mobile hotspot access networks, belonging to the same provider orto different respective providers. Additionally for example, a devicecan provide multiple accesses to another device/thing (e.g., viadifferent channels, radios, etc.).

Referring back to FIG. 1, the example End-User Devices are shown with awireless communication link to a backbone provider (e.g., to one or moreBackbone Providers and/or Local Infrastructure Providers), to a FixedHotspot Access Network, to a Mobile Hotspot Access Network, and to theEnvironment. Also for example, the example End-User Devices are shownwith a wired communication link to a backbone provider, to a FixedHotspot Access Network, to a Mobile Hotspot Access Network, and to theEnvironment.

The example network 100 illustrated in FIG. 1 has a flexiblearchitecture that is adaptable at implementation time (e.g., fordifferent use cases) and/or adaptable in real-time, for example asnetwork components enter and leave service. FIGS. 5A-5C illustrate suchflexibility by providing example modes (or configurations). The examplenetworks 500-570 may, for example, share any or all characteristics withthe other example networks and/or network components 100, 200, 300, 400,and 600, discussed herein. For example and without limitation, any orall of the communication links (e.g., wired links, wireless links, etc.)shown in the example networks 500-570 are generally analogous tosimilarly positioned communication links shown in the example network100 of FIG. 1.

For example, various aspects of this disclosure provide communicationnetwork architectures, systems, and methods for supporting a dynamicallyconfigurable communication network comprising a complex array of bothstatic and moving communication nodes (e.g., the Internet of movingthings). For example, a communication network implemented in accordancewith various aspects of the present disclosure may operate in one of aplurality of modalities comprising various fixed nodes, mobile nodes,and/or a combination thereof, which are selectable to yield any of avariety of system goals (e.g., increased throughput, reduced latency andpacket loss, increased availability and robustness of the system, extraredundancy, increased responsiveness, increased security in thetransmission of data and/or control packets, reduced number ofconfiguration changes by incorporating smart thresholds (e.g., change oftechnology, change of certificate, change of IP, etc.), providingconnectivity in dead zones or zones with difficult access, reducing thecosts for maintenance and accessing the equipment forupdating/upgrading, etc.). At least some of such modalities may, forexample, be entirely comprised of fixed-position nodes, at leasttemporarily if not permanently.

For illustrative simplicity, many of the example aspects shown in theexample system or network 100 of FIG. 1 (and other Figures herein) areomitted from FIGS. 5A-5C, but may be present. For example, the Cloud,Internet, and ISP aspects shown in FIG. 1 and in other Figures are notexplicitly shown in FIGS. 5A-5C, but may be present in any of theexample configurations (e.g., as part of the backbone provider networkor coupled thereto, as part of the local infrastructure provider networkor coupled thereto, etc.).

For example, the first example mode 500 is presented as a normalexecution mode, for example a mode (or configuration) in which all ofthe components discussed herein are present. For example, thecommunication system in the first example mode 500 comprises a backboneprovider network, a local infrastructure provider network, a fixedhotspot access network, a mobile hotspot access network, end-userdevices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the first example mode 500 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the localinfrastructure provider network (or any component thereof), fixedhotspot access network (or any component thereof), the end-user devices,and/or environment devices via a wired link. Note that such a wiredcoupling may be temporary. Also note that in various exampleconfigurations, the backbone provider network may also, at leasttemporarily, be communicatively coupled to the mobile hotspot accessnetwork (or any component thereof) via one or more wired (or tethered)links.

Also shown in FIG. 5A, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the first example mode 500 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the mobile hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wireless links. Also note that in various example configurations,the backbone provider network may also be communicatively coupled to thelocal infrastructure provider network via one or more wireless (ornon-tethered) links.

Though not shown in the first example mode 500 (or any of the examplemodes of FIGS. 5A-5C), one or more servers may be communicativelycoupled to the backbone provider network and/or the local infrastructurenetwork. FIG. 1 provides an example of cloud servers beingcommunicatively coupled to the backbone provider network via theInternet.

As additionally shown in FIG. 5A, and in FIG. 1 in more detail, thelocal infrastructure provider network may be communicatively coupled toany or all of the other elements present in the first example mode 500(or configuration) via one or more wired (or tethered) links. Forexample, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), fixed hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wired links. Note that such a wired coupling may be temporary. Alsonote that in various example configurations, the local infrastructureprovider network may also, at least temporarily, be communicativelycoupled to the mobile hotspot access network (or any component thereof)via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the first example mode 500 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), the fixed hotspot access network (or any componentthereof), the mobile hotspot access network (or any component thereof),the end-user devices, and/or environment devices via one or morewireless links. Note that the communication link shown in the firstexample mode 500 of FIG. 5A between the local infrastructure providernetwork and the fixed hotspot access network may be wired and/orwireless.

The fixed hotspot access network is also shown in the first example mode500 to be communicatively coupled to the mobile hotspot access network,the end-user devices, and/or environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein. Additionally, the mobile hotspot access network is further shownin the first example mode 500 to be communicatively coupled to theend-user devices and/or environment devices via one or more wirelesslinks. Many examples of such wireless coupling are provided herein.Further, the end-user devices are also shown in the first example mode500 to be communicatively coupled to the environment devices via one ormore wireless links. Many examples of such wireless coupling areprovided herein. Note that in various example implementations any ofsuch wireless links may instead (or in addition) comprise a wired (ortethered) link.

In the first example mode 500 (e.g., the normal mode), information (ordata) may be communicated between an end-user device and a server (e.g.,a computer system) via the mobile hotspot access network, the fixedhotspot access network, the local infrastructure provider network,and/or the backbone provider network. As will be seen in the variousexample modes presented herein, such communication may flexibly occurbetween an end-user device and a server via any of a variety ofdifferent communication pathways, for example depending on theavailability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc. Forexample, information communicated between an end user device and aserver may be communicated via the fixed hotspot access network, thelocal infrastructure provider network, and/or the backbone providernetwork (e.g., skipping the mobile hotspot access network). Also forexample, information communicated between an end user device and aserver may be communicated via the backbone provider network (e.g.,skipping the mobile hotspot access network, fixed hotspot accessnetwork, and/or local infrastructure provider network).

Similarly, in the first example mode 500 (e.g., the normal mode),information (or data) may be communicated between an environment deviceand a server via the mobile hotspot access network, the fixed hotspotaccess network, the local infrastructure provider network, and/or thebackbone provider network. Also for example, an environment device maycommunicate with or through an end-user device (e.g., instead of or inaddition to the mobile hotspot access network). As will be seen in thevarious example modes presented herein, such communication may flexiblyoccur between an environment device and a server (e.g., communicativelycoupled to the local infrastructure provider network and/or backboneprovider network) via any of a variety of different communicationpathways, for example depending on the availability of a network,depending on bandwidth utilization goals, depending on communicationpriority, depending on communication time (or latency) and/orreliability constraints, depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the fixed hotspot access network, thelocal infrastructure provider network, and/or the backbone providernetwork (e.g., skipping the mobile hotspot access network). Also forexample, information communicated between an environment device and aserver may be communicated via the backbone provider network (e.g.,skipping the mobile hotspot access network, fixed hotspot accessnetwork, and/or local infrastructure provider network). Additionally forexample, information communicated between an environment device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the mobile hotspot access network and/or fixed hotspotaccess network).

As discussed herein, the example networks presented herein areadaptively configurable to operate in any of a variety of differentmodes (or configurations). Such adaptive configuration may occur atinitial installation and/or during subsequent controlled networkevolution (e.g., adding or removing any or all of the network componentsdiscussed herein, expanding, or removing network capacity, adding orremoving coverage areas, adding or removing services, etc.). Suchadaptive configuration may also occur in real-time, for example inresponse to real-time changes in network conditions (e.g., networks orcomponents thereof being available or not based on vehicle oruser-device movement, network or component failure, network or componentreplacement or augmentation activity, network overloading, etc.). Thefollowing example modes are presented to illustrate characteristics ofvarious modes in which a communication system may operate in accordancewith various aspects of the present disclosure. The following examplemodes will generally be discussed in relation to the first example mode500 (e.g., the normal execution mode). Note that such example modes aremerely illustrative and not limiting.

The second example mode (or configuration) 510 (e.g., a no backboneavailable mode) may, for example, share any or all characteristics withthe first example mode 500, albeit without the backbone provider networkand communication links therewith. For example, the communication systemin the second example mode 510 comprises a local infrastructure providernetwork, a fixed hotspot access network, a mobile hotspot accessnetwork, end-user devices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the localinfrastructure provider network may be communicatively coupled to any orall of the other elements present in the second example mode 510 (orconfiguration) via one or more wired (or tethered) links. For example,the local infrastructure provider network may be communicatively coupledto the fixed hotspot access network (or any component thereof), theend-user devices, and/or environment devices via one or more wiredlinks. Note that such a wired coupling may be temporary. Also note thatin various example configurations, the local infrastructure providernetwork may also, at least temporarily, be communicatively coupled tothe mobile hotspot access network (or any component thereof) via one ormore wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the second example mode 510 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the mobile hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wireless links. Note that the communication link(s) shown in thesecond example mode 510 of FIG. 5A between the local infrastructureprovider network and the fixed hotspot access network may be wiredand/or wireless.

The fixed hotspot access network is also shown in the second examplemode 510 to be communicatively coupled to the mobile hotspot accessnetwork, the end-user devices, and/or environment devices via one ormore wireless links. Many examples of such wireless coupling areprovided herein. Additionally, the mobile hotspot access network isfurther shown in the second example mode 510 to be communicativelycoupled to the end-user devices and/or environment devices via one ormore wireless links. Many examples of such wireless coupling areprovided herein. Further, the end-user devices are also shown in thesecond example mode 510 to be communicatively coupled to the environmentdevices via one or more wireless links. Many examples of such wirelesscoupling are provided herein. Note that in various exampleimplementations any of such wireless links may instead (or in addition)comprise a wired (or tethered) link.

In the second example mode 510 (e.g., the no backbone available mode),information (or data) may be communicated between an end-user device anda server (e.g., a computer, etc.) via the mobile hotspot access network,the fixed hotspot access network, and/or the local infrastructureprovider network. As will be seen in the various example modes presentedherein, such communication may flexibly occur between an end-user deviceand a server via any of a variety of different communication pathways,for example depending on the availability of a network, depending onbandwidth utilization goals, depending on communication priority,depending on communication time (or latency) and/or reliabilityconstraints, depending on cost, etc. For example, informationcommunicated between an end user device and a server may be communicatedvia the fixed hotspot access network and/or the local infrastructureprovider network (e.g., skipping the mobile hotspot access network).Also for example, information communicated between an end user deviceand a server may be communicated via the local infrastructure providernetwork (e.g., skipping the mobile hotspot access network and/or fixedhotspot access network).

Similarly, in the second example mode 510 (e.g., the no backboneavailable mode), information (or data) may be communicated between anenvironment device and a server via the mobile hotspot access network,the fixed hotspot access network, and/or the local infrastructureprovider network. Also for example, an environment device maycommunicate with or through an end-user device (e.g., instead of or inaddition to the mobile hotspot access network). As will be seen in thevarious example modes presented herein, such communication may flexiblyoccur between an environment device and a server (e.g., communicativelycoupled to the local infrastructure provider network) via any of avariety of different communication pathways, for example depending onthe availability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the fixed hotspot access network and/orthe local infrastructure provider network (e.g., skipping the mobilehotspot access network). Also for example, information communicatedbetween an environment device and a server may be communicated via thelocal infrastructure provider network (e.g., skipping the mobile hotspotaccess network and/or fixed hotspot access network).

The second example mode 510 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. Forexample, due to security and/or privacy goals, the second example mode510 may be utilized so that communication access to the public Cloudsystems, the Internet in general, etc., is not allowed. For example, allnetwork control and management functions may be within the localinfrastructure provider network (e.g., wired local network, etc.) and/orthe fixed access point network.

In an example implementation, the communication system might be totallyowned, operated, and/or controlled by a local port authority. No extraexpenses associated with cellular connections need be spent. Forexample, cellular connection capability (e.g., in Mobile APs, Fixed APs,end user devices, environment devices, etc.) need not be provided. Notealso that the second example mode 510 may be utilized in a scenario inwhich the backbone provider network is normally available but iscurrently unavailable (e.g., due to server failure, due to communicationlink failure, due to power outage, due to a temporary denial of service,etc.).

The third example mode (or configuration) 520 (e.g., a no localinfrastructure and fixed hotspots available mode) may, for example,share any or all characteristics with the first example mode 500, albeitwithout the local infrastructure provider network, the fixed hotspotaccess network, and communication links therewith. For example, thecommunication system in the third example mode 520 comprises a backboneprovider network, a mobile hotspot access network, end-user devices, andenvironment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the third example mode 520 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the end-user devicesand/or environment devices via one or more wired links. Note that such awired coupling may be temporary. Also note that in various exampleconfigurations, the backbone provider network may also, at leasttemporarily, be communicatively coupled to the mobile hotspot accessnetwork (or any component thereof) via one or more wired (or tethered)links.

Also shown in FIG. 5A, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the third example mode 520 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the mobile hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links.

The mobile hotspot access network is further shown in the third examplemode 520 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Further, the end-userdevices are also shown in the third example mode 520 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein. Note that in various example implementations any of suchwireless links may instead (or in addition) comprise a wired (ortethered) link.

In the third example mode 520 (e.g., the no local infrastructure andfixed hotspots available mode), information (or data) may becommunicated between an end-user device and a server (e.g., a computer,etc.) via the mobile hotspot access network and/or the backbone providernetwork. As will be seen in the various example modes presented herein,such communication may flexibly occur between an end-user device and aserver via any of a variety of different communication pathways, forexample depending on the availability of a network, depending onbandwidth utilization goals, depending on communication priority,depending on communication time (or latency) and/or reliabilityconstraints, depending on cost, etc. For example, informationcommunicated between an end user device and a server may be communicatedvia the backbone provider network (e.g., skipping the mobile hotspotaccess network).

Similarly, in the third example mode 520 (e.g., the no localinfrastructure and fixed hotspots available mode), information (or data)may be communicated between an environment device and a server via themobile hotspot access network and/or the backbone provider network. Alsofor example, an environment device may communicate with or through anend-user device (e.g., instead of or in addition to the mobile hotspotaccess network). As will be seen in the various example modes presentedherein, such communication may flexibly occur between an environmentdevice and a server (e.g., communicatively coupled to the backboneprovider network) via any of a variety of different communicationpathways, for example depending on the availability of a network,depending on bandwidth utilization goals, depending on communicationpriority, depending on communication time (or latency) and/orreliability constraints, depending on cost, etc. For example,information communicated between an environment device and a server maybe communicated via the backbone provider network (e.g., skipping themobile hotspot access network).

In the third example mode 520, all control/management functions may forexample be implemented within the Cloud. For example, since the mobilehotspot access network does not have a communication link via a fixedhotspot access network, the Mobile APs may utilize a direct connection(e.g., a cellular connection) with the backbone provider network (orCloud). If a Mobile AP does not have such capability, the Mobile AP mayalso, for example, utilize data access provided by the end-user devicescommunicatively coupled thereto (e.g., leveraging the data plans of theend-user devices).

The third example mode 520 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, the third example mode 520 may be utilized in anearly stage of a larger deployment, for example deployment that willgrow into another mode (e.g., the example first mode 500, example fourthmode 530, etc.) as more communication system equipment is installed.Note also that the third example mode 520 may be utilized in a scenarioin which the local infrastructure provider network and fixed hotspotaccess network are normally available but are currently unavailable(e.g., due to equipment failure, due to communication link failure, dueto power outage, due to a temporary denial of service, etc.).

The fourth example mode (or configuration) 530 (e.g., a no fixedhotspots available mode) may, for example, share any or allcharacteristics with the first example mode 500, albeit without thefixed hotspot access network and communication links therewith. Forexample, the communication system in the fourth example mode 530comprises a backbone provider network, a local infrastructure providernetwork, a mobile hotspot access network, end-user devices, andenvironment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the fourth example mode 530 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the localinfrastructure provider network (or any component thereof), the end-userdevices, and/or environment devices via one or more wired links. Notethat such a wired coupling may be temporary. Also note that in variousexample configurations, the backbone provider network may also, at leasttemporarily, be communicatively coupled to the mobile hotspot accessnetwork (or any component thereof) via one or more wired (or tethered)links.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the fourth example mode 530 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the mobile hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links. Also note that in various exampleconfigurations, the backbone provider network may also becommunicatively coupled to the local infrastructure provider network viaone or more wireless (or non-tethered) links.

As additionally shown in FIG. 5B, and in FIG. 1 in more detail, thelocal infrastructure provider network may be communicatively coupled toany or all of the other elements present in the fourth example mode 530(or configuration) via one or more wired (or tethered) links. Forexample, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wired links. Note that such a wired coupling may betemporary. Also note that in various example configurations, the localinfrastructure provider network may also, at least temporarily, becommunicatively coupled to the mobile hotspot access network (or anycomponent thereof) via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the fourth example mode 530 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), the mobile hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wireless links.

The mobile hotspot access network is further shown in the fourth examplemode 530 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Further, the end-userdevices are also shown in the fourth example mode 530 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the fourth example mode 530 (e.g., the no fixed hotspots mode),information (or data) may be communicated between an end-user device anda server via the mobile hotspot access network, the local infrastructureprovider network, and/or the backbone provider network. As will be seenin the various example modes presented herein, such communication mayflexibly occur between an end-user device and a server via any of avariety of different communication pathways, for example depending onthe availability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc. Forexample, information communicated between an end user device and aserver may be communicated via the local infrastructure provider networkand/or the backbone provider network (e.g., skipping the mobile hotspotaccess network). Also for example, information communicated between anend user device and a server may be communicated via the backboneprovider network (e.g., skipping the mobile hotspot access networkand/or local infrastructure provider network).

Similarly, in the fourth example mode 530 (e.g., the no fixed hotspotsavailable mode), information (or data) may be communicated between anenvironment device and a server via the mobile hotspot access network,the local infrastructure provider network, and/or the backbone providernetwork. Also for example, an environment device may communicate with orthrough an end-user device (e.g., instead of or in addition to themobile hotspot access network). As will be seen in the various examplemodes presented herein, such communication may flexibly occur between anenvironment device and a server (e.g., communicatively coupled to thelocal infrastructure provider network and/or backbone provider network)via any of a variety of different communication pathways, for exampledepending on the availability of a network, depending on bandwidthutilization goals, depending on communication priority, depending oncommunication time (or latency) and/or reliability constraints,depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the local infrastructure providernetwork and/or the backbone provider network (e.g., skipping the mobilehotspot access network). Also for example, information communicatedbetween an environment device and a server may be communicated via thebackbone provider network (e.g., skipping the mobile hotspot accessnetwork and/or local infrastructure provider network). Additionally forexample, information communicated between an environment device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the mobile hotspot access network and/or backboneprovider network).

In the fourth example mode 530, in an example implementation, some ofthe control/management functions may for example be implemented withinthe local backbone provider network (e.g., within a client premises).For example, communication to the local infrastructure provider may beperformed through the backbone provider network (or Cloud). Note that ina scenario in which there is a direct communication pathway between thelocal infrastructure provider network and the mobile hotspot accessnetwork, such communication pathway may be utilized.

For example, since the mobile hotspot access network does not have acommunication link via a fixed hotspot access network, the Mobile APsmay utilize a direct connection (e.g., a cellular connection) with thebackbone provider network (or Cloud). If a Mobile AP does not have suchcapability, the Mobile AP may also, for example, utilize data accessprovided by the end-user devices communicatively coupled thereto (e.g.,leveraging the data plans of the end-user devices).

The fourth example mode 530 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, the fourth example mode 530 may be utilized inan early stage of a larger deployment, for example a deployment thatwill grow into another mode (e.g., the example first mode 500, etc.) asmore communication system equipment is installed. The fourth examplemode 530 may, for example, be utilized in a scenario in which there isno fiber (or other) connection available for Fixed APs (e.g., in amaritime scenario, in a plantation scenario, etc.), or in which a FixedAP is difficult to access or connect. For example, one or more MobileAPs of the mobile hotspot access network may be used as gateways toreach the Cloud. The fourth example mode 530 may also, for example, beutilized when a vehicle fleet and/or the Mobile APs associated therewithare owned by a first entity and the Fixed APs are owned by anotherentity, and there is no present agreement for communication between theMobile APs and the Fixed APs. Note also that the fourth example mode 530may be utilized in a scenario in which the fixed hotspot access networkis normally available but are currently unavailable (e.g., due toequipment failure, due to communication link failure, due to poweroutage, due to a temporary denial of service, etc.).

The fifth example mode (or configuration) 540 (e.g., a no mobilehotspots available mode) may, for example, share any or allcharacteristics with the first example mode 500, albeit without themobile hotspot access network and communication links therewith. Forexample, the communication system in the fifth example mode 540comprises a backbone provider network, a local infrastructure providernetwork, a fixed hotspot access network, end-user devices, andenvironment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the fifth example mode 540 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the localinfrastructure provider network (or any component thereof), fixedhotspot access network (or any component thereof), the end-user devices,and/or environment devices via one or more wired links. Note that such awired coupling may be temporary.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the fifth example mode 540 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links. Also note that in various exampleconfigurations, the backbone provider network may also becommunicatively coupled to the local infrastructure provider network viaone or more wireless (or non-tethered) links.

As additionally shown in FIG. 5B, and in FIG. 1 in more detail, thelocal infrastructure provider network may be communicatively coupled toany or all of the other elements present in the fifth example mode 540(or configuration) via one or more wired (or tethered) links. Forexample, the local infrastructure provider network may becommunicatively coupled to the backbone provider network (or anycomponent thereof), fixed hotspot access network (or any componentthereof), the end-user devices, and/or environment devices via one ormore wired links. Note that such a wired coupling may be temporary. Alsonote that in various example configurations, the local infrastructureprovider network may also, at least temporarily, be communicativelycoupled to the mobile hotspot access network (or any component thereof)via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the fifth example mode 540 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the backbone provider network, the fixedhotspot access network (or any component thereof), the end-user devices,and/or environment devices via one or more wireless links. Note that thecommunication link(s) shown in the fifth example mode 540 of FIG. 5Bbetween the local infrastructure provider network and the fixed hotspotaccess network may be wired and/or wireless.

The fixed hotspot access network is also shown in the fifth example mode540 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Further, the end-userdevices are also shown in the fifth example mode 540 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the fifth example mode 540 (e.g., the no mobile hotspots availablemode), information (or data) may be communicated between an end-userdevice and a server via the fixed hotspot access network, the localinfrastructure provider network, and/or the backbone provider network.As will be seen in the various example modes presented herein, suchcommunication may flexibly occur between an end-user device and a servervia any of a variety of different communication pathways, for exampledepending on the availability of a network, depending on bandwidthutilization goals, depending on communication priority, depending oncommunication time (or latency) and/or reliability constraints,depending on cost, etc. For example, information communicated between anend user device and a server may be communicated via the localinfrastructure provider network, and/or the backbone provider network(e.g., skipping the fixed hotspot access network). Also for example,information communicated between an end user device and a server may becommunicated via the backbone provider network (e.g., skipping the fixedhotspot access network and/or local infrastructure provider network).

Similarly, in the fifth example mode 540 (e.g., the no mobile hotspotsavailable mode), information (or data) may be communicated between anenvironment device and a server via the fixed hotspot access network,the local infrastructure provider network, and/or the backbone providernetwork. Also for example, an environment device may communicate with orthrough an end-user device (e.g., instead of or in addition to the fixedhotspot access network). As will be seen in the various example modespresented herein, such communication may flexibly occur between anenvironment device and a server (e.g., communicatively coupled to thelocal infrastructure provider network and/or backbone provider network)via any of a variety of different communication pathways, for exampledepending on the availability of a network, depending on bandwidthutilization goals, depending on communication priority, depending oncommunication time (or latency) and/or reliability constraints,depending on cost, etc.

For example, information communicated between an environment device anda server may be communicated via the local infrastructure providernetwork and/or the backbone provider network (e.g., skipping the fixedhotspot access network). Also for example, information communicatedbetween an environment device and a server may be communicated via thebackbone provider network (e.g., skipping the fixed hotspot accessnetwork and/or local infrastructure provider network). Additionally forexample, information communicated between an environment device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the fixed hotspot access network and/or the backboneprovider network).

In the fifth example mode 540, in an example implementation, theend-user devices and environment devices may communicate directly toFixed APs (e.g., utilizing Ethernet, Wi-Fi, etc.). Also for example, theend-user devices and/or environment devices may communicate directlywith the backbone provider network (e.g., utilizing cellularconnections, etc.).

The fifth example mode 540 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation in which end-user devices and/or environmentdevices may communicate directly with Fixed APs, such communication maybe utilized instead of Mobile AP communication. For example, the fixedhotspot access network might provide coverage for all desired areas.

Note also that the fifth example mode 540 may be utilized in a scenarioin which the fixed hotspot access network is normally available but iscurrently unavailable (e.g., due to equipment failure, due tocommunication link failure, due to power outage, due to a temporarydenial of service, etc.).

The sixth example mode (or configuration) 550 (e.g., the no fixed/mobilehotspots and local infrastructure available mode) may, for example,share any or all characteristics with the first example mode 500, albeitwithout the local infrastructure provider network, fixed hotspot accessnetwork, mobile hotspot access network, and communication linkstherewith. For example, the communication system in the sixth examplemode 550 comprises a backbone provider network, end-user devices, andenvironment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone providernetwork may be communicatively coupled to any or all of the otherelements present in the sixth example mode 550 (or configuration) viaone or more wired (or tethered) links. For example, the backboneprovider network may be communicatively coupled to the end-user devicesand/or environment devices via one or more wired links. Note that such awired coupling may be temporary.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backboneprovider network may be communicatively coupled to any or all of theother elements present in the sixth example mode 550 (or configuration)via one or more wireless links (e.g., RF link, non-tethered opticallink, etc.). For example, the backbone provider network may becommunicatively coupled to the end-user devices and/or environmentdevices via one or more wireless links.

The end-user devices are also shown in the sixth example mode 550 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the sixth example mode 550 (e.g., the no fixed/mobile hotspots andlocal infrastructure available mode), information (or data) may becommunicated between an end-user device and a server via the backboneprovider network. Similarly, in the sixth example mode 550 (e.g., the nofixed/mobile hotspots and local infrastructure mode), information (ordata) may be communicated between an environment device and a server viathe backbone provider network. Also for example, an environment devicemay communicate with or through an end-user device (e.g., instead of orin addition to the mobile hotspot access network).

The sixth example mode 550 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, for example in which an end-user has not yetsubscribed to the communication system, the end-user device maysubscribe to the system through a Cloud application and by communicatingdirectly with the backbone provider network (e.g., via cellular link,etc.). The sixth example mode 550 may also, for example, be utilized inrural areas in which Mobile AP presence is sparse, Fixed AP installationis difficult or impractical, etc.

Note also that the sixth example mode 550 may be utilized in a scenarioin which the infrastructure provider network, fixed hotspot accessnetwork, and/or mobile hotspot access network are normally available butare currently unavailable (e.g., due to equipment failure, due tocommunication link failure, due to power outage, due to a temporarydenial of service, etc.).

The seventh example mode (or configuration) 560 (e.g., the no backboneand mobile hotspots available mode) may, for example, share any or allcharacteristics with the first example mode 500, albeit without thebackbone provider network, mobile hotspot access network, andcommunication links therewith. For example, the communication system inthe seventh example mode 560 comprises a local infrastructure providernetwork, fixed hotspot access network, end-user devices, and environmentdevices.

As shown in FIG. 5C, and in FIG. 1 in more detail, the localinfrastructure provider network may be communicatively coupled to any orall of the other elements present in the seventh example mode 560 (orconfiguration) via one or more wired (or tethered) links. For example,the local infrastructure provider network may be communicatively coupledto the fixed hotspot access network (or any component thereof), theend-user devices, and/or environment devices via one or more wiredlinks. Note that such a wired coupling may be temporary.

Also, though not explicitly shown, the local infrastructure providernetwork may be communicatively coupled to any or all of the otherelements present in the seventh example mode 560 (or configuration) viaone or more wireless links (e.g., RF link, non-tethered optical link,etc.). For example, the local infrastructure provider network may becommunicatively coupled to the fixed hotspot access network (or anycomponent thereof), the end-user devices, and/or environment devices viaone or more wireless links. Note that the communication link shown inthe seventh example mode 560 of FIG. 5C between the local infrastructureprovider network and the fixed hotspot access network may be wiredand/or wireless.

The fixed hotspot access network is also shown in the seventh examplemode 560 to be communicatively coupled to the end-user devices and/orenvironment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein. Additionally, the end-userdevices are also shown in the seventh example mode 560 to becommunicatively coupled to the environment devices via one or morewireless links. Many examples of such wireless coupling are providedherein.

In the seventh example mode 560 (e.g., the no backbone and mobilehotspots available mode), information (or data) may be communicatedbetween an end-user device and a server via the fixed hotspot accessnetwork and/or the local infrastructure provider network. As will beseen in the various example modes presented herein, such communicationmay flexibly occur between an end-user device and a server via any of avariety of different communication pathways, for example depending onthe availability of a network, depending on bandwidth utilization goals,depending on communication priority, depending on communication time (orlatency) and/or reliability constraints, depending on cost, etc. Forexample, information communicated between an end user device and aserver may be communicated via the local infrastructure provider network(e.g., skipping the fixed hotspot access network).

Similarly, in the seventh example mode 560 (e.g., the no backbone andmobile hotspots available mode), information (or data) may becommunicated between an environment device and a server via the fixedhotspot access network and/or the local infrastructure provider network.Also for example, an environment device may communicate with or throughan end-user device (e.g., instead of or in addition to the mobilehotspot access network). As will be seen in the various example modespresented herein, such communication may flexibly occur between anenvironment device and a server (e.g., communicatively coupled to thelocal infrastructure provider network) via any of a variety of differentcommunication pathways, for example depending on the availability of anetwork, depending on bandwidth utilization goals, depending oncommunication priority, depending on communication time (or latency)and/or reliability constraints, depending on cost, etc. For example,information communicated between an environment device and a server maybe communicated via the local infrastructure provider network (e.g.,skipping the fixed hotspot access network).

The seventh example mode 560 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample controlled space implementation, Cloud access might not beprovided (e.g., for security reasons, privacy reasons, etc.), and full(or sufficient) coverage of the coverage area is provided by the fixedhotspot access network, and thus the mobile hotspot access network isnot needed. For example, the end-user devices and environment devicesmay communicate directly (e.g., via Ethernet, Wi-Fi, etc.) with theFixed APs

Note also that the seventh example mode 560 may be utilized in ascenario in which the backbone provider network and/or fixed hotspotaccess network are normally available but are currently unavailable(e.g., due to equipment failure, due to communication link failure, dueto power outage, due to a temporary denial of service, etc.).

The eighth example mode (or configuration) 570 (e.g., the no backbone,fixed hotspots, and local infrastructure available mode) may, forexample, share any or all characteristics with the first example mode500, albeit without the backbone provider network, local infrastructureprovider network, fixed hotspot access network, and communication linkstherewith. For example, the communication system in the eighth examplemode 570 comprises a mobile hotspot access network, end-user devices,and environment devices.

As shown in FIG. 5C, and in FIG. 1 in more detail, the mobile hotspotaccess network is shown in the eighth example mode 570 to becommunicatively coupled to the end-user devices and/or environmentdevices via one or more wireless links. Many examples of such wirelesscoupling are provided herein. Further, the end-user devices are alsoshown in the eighth example mode 570 to be communicatively coupled tothe environment devices via one or more wireless links. Many examples ofsuch wireless coupling are provided herein.

In the eighth example mode 570 (e.g., the no backbone, fixed hotspots,and local infrastructure available mode), information (or data) mightnot (at least currently) be communicated between an end-user device anda server (e.g., a coupled to the backbone provider network, localinfrastructure provider network, etc.). Similarly, information (or data)might not (at least currently) be communicated between an environmentdevice and a server (e.g., a coupled to the backbone provider network,local infrastructure provider network, etc.). Note that the environmentdevice may communicate with or through an end-user device (e.g., insteadof or in addition to the mobile hotspot access network).

The eighth example mode 570 may be utilized for any of a variety ofreasons, non-limiting examples of which are provided herein. In anexample implementation, the eighth example mode 570 may be utilized forgathering and/or serving data (e.g., in a delay-tolerant networkingscenario), providing peer-to-peer communication through the mobilehotspot access network (e.g., between clients of a single Mobile AP,between clients of respective different Mobile APs, etc.), etc. Inanother example scenario, the eighth example mode 570 may be utilized ina scenario in which vehicle-to-vehicle communications are prioritizedabove vehicle-to-infrastructure communications. In yet another examplescenario, the eighth example mode 570 may be utilized in a scenario inwhich all infrastructure access is lost (e.g., in tunnels, parkinggarages, etc.).

Note also that the eighth example mode 570 may be utilized in a scenarioin which the backbone provider network, local infrastructure providernetwork, and/or fixed hotspot access network are normally available butare currently unavailable (e.g., due to equipment failure, due tocommunication link failure, due to power outage, due to a temporarydenial of service, etc.).

As shown and discussed herein, it is beneficial to have a genericplatform that allows multi-mode communications of multiple users ormachines within different environments, using multiple devices withmultiple technologies, connected to multiple moving/static things withmultiple technologies, forming wireless (mesh) hotspot networks overdifferent environments, connected to multiple wired/wirelessinfrastructure/network backbone providers, ultimately connected to theInternet, Cloud or private network infrastructure.

FIG. 6 shows yet another block diagram of an example networkconfiguration, in accordance with various aspects of the presentdisclosure. The example network 600 may, for example, share any or allcharacteristics with the other example networks and/or networkcomponents 100, 200, 300, 400, and 500-570, discussed herein. Notably,the example network 600 shows a plurality of Mobile APs (or OBUs), eachcommunicatively coupled to a Fixed AP (or RSU), where each Mobile AP mayprovide network access to a vehicle network (e.g., comprising othervehicles or vehicle networks, user devices, sensor devices, etc.).

In accordance with various aspects of the present disclosure, systemsand methods are provided that manage a vehicle communication network,for example in accordance with the location of nodes and end devices, ina way that provides for stable TCP/IP Internet access, among otherthings. For example, an end user may be provided with a clean and stableWi-Fi Internet connection that may appear to the end user to be the sameas the Wi-Fi Internet connection at the user's home, user's workplace,fixed public Wi-Fi hotspots, etc. For example, for a user utilizing acommunication network as described herein, a TCP session may stayactive, downloads may process normally, calls may proceed withoutinterruption, etc. As discussed herein, a vehicle communication networkin accordance with various aspects of this disclosure may be applied asa transport layer for regular Internet traffic and/or for privatenetwork traffic (e.g., extending the access of customer private LANsfrom the wired network to vehicles and users around them, etc.).

In accordance with an example network implementation, although a usermight be always connected to a single Wi-Fi AP of a vehicle, the vehicle(or the access point thereof, for example an OBU) is moving betweenmultiple access points (e.g., Fixed APs, other Mobile APs, cellular basestations, fixed Wi-Fi hotspots, etc.). For example, mobility managementimplemented in accordance with various aspects of the present disclosuresupports the mobility of each vehicle and its users across differentcommunication technologies (e.g., 802.11p, cellular, Wi-Fi, etc.) as theMobile APs migrate among Fixed APs (and/or Mobile APs) and/or as usersmigrate between Mobile APs.

In accordance with various aspects of the present disclosure, a mobilitycontroller (MC), which may also be referred to as an LMA or NetworkController, may monitor the location (e.g., network location, etc.) ofvarious nodes (e.g., Mobile APs, etc.) and/or the location of end usersconnected through them. The mobility controller (MC) may, for example,provide seamless handovers (e.g., maintaining communication sessioncontinuity) between different access points and/or differenttechnologies with low link latency and low handover times.

The architecture provided herein is scalable, for example takingadvantage of redundant elements and/or functionality to provideload-balancing of control and/or data communication functionality, aswell as to decrease failure probability. Various aspects of the presentdisclosure also provide for decreased control signaling (e.g., in amountand/or frequency), which reduces the control overhead and reduces thesize of control tables and tunneling, for example both in backendservers and in APs (e.g., Fixed APs and/or Mobile APs).

Additionally, a communication network (or components thereof) inaccordance with various aspects of this disclosure may comprise theability to interact with mobile devices in order to control some or allof their connection choices and/or to leverage their controlfunctionality. For example, in an example implementation, a mobileapplication can run in the background, managing the available networksand/or nodes thereof and selecting the one that best fits, and thentriggering a handoff to the selected network (or node thereof) beforebreakdown of the current connection.

The communication network (or components thereof) is also configurable,according to the infrastructure requirements and/or mobility needs ofeach client, etc. For example, the communication network (or componentsthereof) may comprise the capability to support different Layer 2 (L2)or Layer 3 (L3) implementations, or combinations thereof, as well asIPv4/IPv6 traffic.

In light of recent advances in the development of fleet management andvehicle monitoring systems and applications, fleet operators may nowhave access to sets of data that have so far been unavailable. Access tosuch data may enable fleet operators and drivers to take actions basedon measured parameters in order to make their operations more efficientboth economically and environmentally.

Although these complex data sets may spur new applications, the humanfactor has generally been missing. Accordingly, various embodiments ofthe disclosure may take advantage of modern data fusion techniques andthe advent of wearable technologies to develop systems and methods tomeasure, track, and record parameters related to the driving behavior ofdrivers from, for example, a vehicle fleet, customers of an insurancecompany, and/or car rental company customers.

Accordingly, various embodiments of the disclosure may collect relevantdata from the vehicles and devices connected to the vehicular network(wearable devices, OBD devices, environmental sensors, etc.). Thecollected data may then be stored and analyzed to form dynamic drivingbehavior models correlated to a driver, a road section, and time of day.These models may be deployed to detect and identify deviations from theusual driving behavior models. Accordingly, these models may be used toimprove driving behaviors of various drivers. These models may also beused to, for example, improve a driving algorithm for autonomousvehicles.

The driving behavior data may also be made available, for example, tothird parties such as fleet operators, car rental companies, and/orinsurance companies, enabling them to build new applications or businessmodels. Some applications and/or business models may be, for example,pushing driver notifications in real time of concerns regarding thedriving habits and/or driving suggestions, live demerit points forinsurance models based on driving behaviors, and/or efficient andenvironmentally aware driving games/instructions to improve drivingbehavior.

FIG. 7 shows a diagram of an example view of gathering and processingdriving related data, in accordance with various aspects of the presentdisclosure. Referring to FIG. 7, there is shown a diagram 700 where datacollection of input data may take place at block 702. The input data maybe from, for example, use of the on-board devices such as, for example,sensors, vehicle onboard equipment (driver registration devices, OBDdata, etc.), as well as wearable devices worn/held/attached to thedrivers. These data may be used for generation of driving behaviormodels. Some data may also be received from sources outside the vehiclethat houses the on-board sensors. For example, data may be sent from theCloud, or from environmental devices (sensors) as the vehicle approachesor passes by those environmental devices (sensors), etc. The data fromthe Cloud may include, for example, information regarding the driverwhen a driver first takes over the task of driving the vehicle. This mayhappen, for example, when the vehicle, for example, a bus, first startsits route or when a new driver takes over for the previous driver. Thismay be initiated by, for example, a driver logging in to operate thevehicle. In this way, data from various sources may be used to improvethe quality and reliability of various embodiments of the disclosure.The data may be stored while it is being processed, or may be stored forprocessing in the future. The storage and/or processing may be, forexample, done in the Cloud or locally on the vehicle that houses theon-board sensors.

As described previously, a mobile access point (MAP) may be operable tocommunicate with any of a variety of Wi-Fi-enabled sensor devicesequipped with a heterogeneous collection of environmental devices(sensors). Such devices may, for example, comprise noise sensors(microphones, etc.), gas sensors (e.g., sensing CO, NO₂, O₃, volatileorganic compounds (or VOCs), CO₂, etc.), smoke sensors, pollutionsensors, meteorological sensors (e.g., sensing temperature, humidity,luminosity, particles, solar radiation, wind speed (e.g., anemometer),wind direction, rain (e.g., a pluviometer), optical scanners, biometricscanners, cameras, microphones, etc.). Such sensors may also comprisesensors associated with users (e.g., vehicle operators or passengers,passersby, etc.) and/or their personal devices (e.g., smart phones,smart watches, biometrics sensors, wearable sensors, implanted sensors,etc.). Such sensors may also comprise sensors and/or systems associatedwith, for example, on-board diagnostic (OBD) units for vehicles,autonomous vehicle driving systems, etc.

A MAP associated with a vehicle may also provide, for example,geo-location capabilities, motion detection sensors to determine if thevehicle is in motion, and a power control subsystem (e.g., to ensurethat the MAP does not deplete the vehicle battery, etc.). Sensors forgeo-location may be, for example, positioning sensors such as GPSsensors, Galileo sensors, GLONASS sensors, etc. Note that suchpositioning sensors may be part of a vehicle's operational system (e.g.,a local human-controlled vehicle, an autonomous vehicle, a remotehuman-controlled vehicle, etc.).

The data from the different devices may be collected by, for example, aMAP through its Wi-Fi or Bluetooth connection or using a wiredconnection via its Ethernet port. The data can then be sent from the MAPto a server (database) in real time or in a delay tolerant fashiondepending on the class of analysis required. In order to make all thisdata relevant for future analysis, the location and time of the samplecollection may be correlated to the data. This can be achieved by, forexample, using the GPS connection of the MAP.

At block 704 the input data may be processed for various purposesincluding, for example, generating driving behavior models for specificdrivers and/or for different levels of generic drivers. A generic drivermay be, for example, a composite driver. The different levels of ageneric driving behavior models may be generated, for example, based ondrivers for a specific area, or drivers from more than one area.Accordingly, generic driving behavior models may vary from one locale toanother.

At block 706, driving data may be generated and that data may be passedon to the driving analysis block at block 708. The driving analysisblock may process the driving data to determine specific processesassociated with a driver, time of day, portion of road, etc. Theanalyzed data may then be correlated to a driving behavior model atblock 710. The driving behavior model (or pattern) may be specific for adriver or it may be for a generic driver.

The driving behavior model generated at block 710 may be used forproviding live (real-time) driving feedback at block 712, for displayingdriving behavior at block 714 to teach better driving skills using, forexample, a simulator or other classroom environment, or at block 716 foruse by third party application developers. The third party applicationsmay be, for example, to provide real-time notification to fleets and/orreal-time point demerit insurance models. The third party applicationsmay also be games and/or teaching tools.

For some applications it may be important to be able to look athistorical data. For example, a fleet management company may want tocoach its drivers based on their historical driving behavior. Thevisualization of this data may be done in several different ways. Oneway may be to render a set of parameters over a map of a region ofinterest. In this visualization, the data used may be, for example,heart rate and breathing frequency (anxiety and stress related), speed,and/or acceleration/deceleration in order to identify stretches of theroute where the driver felt nervous or behaved in an abnormal way.Graphs may also be generated for different parameters over a period oftime in order to evaluate the most stressful moments of the day or whena driver felt more relaxed. Furthermore, statistics may be rendered pervehicle and per driver to display information in categories, such as,for example, driving scorecards with distance driven, vehicles driven,hours driven, etc. Behavior analysis may also be made to categorize adriver as, for example, a fast or slow driver, stable or unstabledriver, speed compliant or speed non-compliant driver, and to generate afatigue index to indicate when a driver appears to be tired. Servicescorecards may also be generated to indicate, for example, servicesperformed (e.g., routes driven), average number of services per day,average service duration, etc.

Having these visualizations available may enable fleet managers anddrivers to check whether the drivers and the vehicles they are drivingare meeting the targets for driving efficiency, for example, from atiming and/or mechanical standpoint, and also with respect to theenvironment, as well as being able to evaluate how the driving mayimpact, for example, vehicle and driver insurance premiums.

Through the use of secure APIs, driving behavior models may be madeavailable to third parties for development purposes. Some applicationsof the driving behavior models may be, for example, mobile applicationsfor insurance companies, using good driving practices ingames/simulations, for automated driving lessons, and/or as inputs forautonomous driving training engines, etc.

The availability of this fusioned, fully-processed data may allowcompanies in the automotive industry to build new business modelscentered on the way people drive and behave while on the road.

FIG. 8 shows a diagram of an example for gathering driving related data,in accordance with various aspects of the present disclosure. Referringto FIG. 8, there is shown a vehicle 800, the Cloud 810, and the driver820. The vehicle 800 may comprise, among other sensors and devices,cameras 802 and the MAP 804. The MAP 804 may allow, for example,communication with the Cloud to store/retrieve data from variousdatabases, as well as processing the data as needed. The communicationmay be via one of many different standards that support, for example,cellular communication of various generations, Wi-Fi communication,Bluetooth communication, etc. In some cases, the data may be transferredvia a wired connection using, for example, USB, Firewire, TCP/IP, etc.

The MAP 804 may also provide GPS location functionality by communicatingto the GPS satellites, or to other geo-location providing satellites.The cameras 802 may also provide additional information of the road, thetraffic, and generally the environment around the vehicle 800. Thedriver 820 may trigger downloading of new information from the Cloud 810when, for example, the driver 820 logs in to operate the vehicle 800.The driver 820 may also have other sensors (not shown) that may transferdata to the MAP 804 and/or to the Cloud 810. For example, the driver 820may have a smartphone, a smart bracelet, and/or a smart watch. Thedriver 820 may also be wearing articles of clothing that may have smartfunctionalities built into them or smart devices attached to them. Forexample, the driver 820 may be wearing a smart vest and/or a smarthelmet/cap/hat/glasses, etc. The smart helmet/cap/hat may allowelectrodes to detect, for example, brainwaves from the user.

While some specific devices were named in the previous paragraphs forproviding driving related data and for communication, variousembodiments of the disclosure need not be limited to or by thosedevices. Other devices may be used in place of or in addition to thosedevices, where the devices may be, for example, developed or released inthe future.

FIG. 9A shows an example diagram for processing driving related data inthe Cloud, in accordance with various aspects of the present disclosure.Referring to FIG. 9A, there is shown a diagram of various inputs thatmay be collected at, for example, 702. The various inputs may be, forexample, weather data 902, data from wearable items 904 worn by adriver, data from on-board diagnostics (OBD) device 906, data fromcameras/sensors 908, map data 910 such as, for example, GPS locationdata, dispatching data 912 from the fleet dispatch office, and passengerflow data 914. These data, plus others that may be collected, may bestored in and/or processed by, for example, a server 920 that may bepart of the Cloud. The server 920 may also be referred to as asystem/Cloud server. Various embodiments may have separate servers forstoring the data and processing the data.

In order to build coherent, comprehensive, and accurate driving behaviormodels, the various data may need to be analyzed and organized in orderto extract relevant information. To accomplish this, the processingsystem may focus on data that are relevant to the models or submodelsbeing built, filtering out as noise the data that are not deemedimportant for the task at hand. However, the data labeled as noise maybe kept in the original stored form or another form so that the data maybe available for future use as the needs of the models may change ascomplexity of the models grow.

The data used to build the models may be classified in differentcategories, such as, for example, location type, road type, vehicletype, driver identity, weather conditions, traffic conditions, vehicleconditions, time of the day, etc. The types of data that relate toweather, infrastructure condition, traffic information, etc., may bereferred to as environment data for the vehicle. The infrastructureinformation may comprise, for example, conditions of the roads andtraffic lights, road closures, road repairs, etc. The infrastructureinformation may also comprise information regarding traffic lights. Theinfrastructure information may be provided by, for example, sensors thatare part of public infrastructure such as, for example, roads, streetlights, traffic lights, sewer system, water system, electric system,natural gas system, etc., and/or by reports from pedestrians, vehicles,and/or other devices that may be connected to the Internet. Trafficinformation may include, for example, average speed of traffic for agiven section of a road, traffic accidents, events that may affectnormal traffic such as electric outage, street flooding, etc. As part ofthe processing, data fusion may be performed on the various types ofdata including environment data.

FIG. 9B shows an example block diagram for processing driving relateddata in the vehicle, in accordance with various aspects of the presentdisclosure. Referring to FIG. 9B, there is shown a processing module 950that may be present in a vehicle. All or portions of the processingmodule 950 may be a part of a vehicle such as, for example, the vehicle800, or may be installed after the vehicle was manufactured. Theprocessing module 950 may comprise, for example, a processor 960, memory970, a communication interface 980, and an IO interface 990.

The processor 960 may be a dedicated processor for processing drivingrelated data or the processor 960 may operate in concert with one ormore processors that may control the vehicle 800 and/or assist in theoperation of the vehicle 800. The memory 970 may include non-volatilememory 976 and volatile memory 978. The operating system 972 andapplications 974 may be stored in, for example, the non-volatile memory976, and may be copied to volatile memory 978 for execution. Variousembodiments of the disclosure may use different memory architecturesthat are design and/or implementation dependent.

The communication interface 980 may allow the processing module 950 tocommunicate with other devices via, for example, a wired protocol suchas USB, Ethernet, Firewire, etc., or a wireless protocol such asBluetooth, Near Field Communication (NFC), Wi-Fi, etc. The communicationmay be, for example, with various sensors and/or devices that can relaysensor data. The communication may also be with, for example, with oneor more system/Cloud servers. Accordingly, the processing module 950 maybe integrated with a MAP such as, for example, the MAP 804, or theprocessing module 950 may communicate with the Cloud either directly orvia the MAP 804.

The processing module 950 may also comprise the IO module 990 forcommunication with a user via the input devices 992 and outputinformation to be displayed on output devices 994. The input devices 992may comprise, for example, buttons, touch sensitive screen, which may bea part of a display, a microphone, etc. The output devices 994 maycomprise, for example, the display, a speaker, LEDs, etc.

The processor 960 may operate using different architectures in differentembodiments. For example, the processor 960 may use the memory 970 tostore instructions to execute, or the processor 960 may have its ownmemory (not shown) for its instructions. Furthermore, variousembodiments may have the processor 960 work in concert with otherprocessors in the vehicle 800, the MAP 804, a system/Cloud server(s),and/or processors that may belong to an electronic device of, forexample, the driver 820. Various embodiments may also allow any of theprocessors to work individually.

Various embodiments may use other architectures where the differentfunctionalities may be grouped differently. For example, the groupingmay be in different integrated circuit chips. Or the grouping maycombine different devices such as the IO module 990 and thecommunication interface 980 together, etc.

FIG. 10 shows a diagram of an example of a real-time driving feedback,in accordance with various aspects of the present disclosure. Referringto FIG. 10, there is shown the driving data being analyzed at 1002, andthe analyzed data being processed to form driving behavior models at1004. The driving behavior model may then be fed back and further tunedwith additional analyzed data from 1002 to make the driving behaviormodel more accurate.

During the initial phase of a service launch, the system may have nodata available on any driver. Accordingly, data may be collected viadifferent methods during a learning period. The data may be collected,for example, as part of a pre-service survey, on-the-go driver feedbackthrough HIDs (human interface devices), post validation of events, andother methods described in this disclosure. As time goes by, and as thesystem is updated with the various data coming from all the data sourcespreviously mentioned, a more accurate and complex model of the drivingbehavior of a driver may be built for given conditions.

An embodiment of the disclosure may store all the data that is collectedduring driving, deliver the data to the cloud at an opportune time when,for example, faster and/or cheaper data transfer is available to takeadvantage of delay tolerant data delivery mechanisms, and post-processthe data to be included in the driving behavior model. Some data thatmay be considered to have high priority may be sent immediately. Forexample, information regarding non-routine incidents such as, forexample, a traffic accident expected to tie up traffic for many hours.The driving behavior model may then be updated in a feedback loop withthe latest information for greater accuracy, including sub-models fordifferent day to day situations such as traffic jams, accidents, specialevents, or other occurrences causing delay in getting to a destination.

FIGS. 11A-11D show diagrams of an example of generating and using adriving behavior model, in accordance with various aspects of thepresent disclosure. Referring to FIG. 11A, there is shown a vehicle 1102with a driver 1104. The driver 1104 may be a driver identified in ascheduling program as being assigned to the vehicle 1102. As the driver1104 logs in to drive the vehicle 1102, the driving behavior model fordriver 1104 may be used for the vehicle 1102 as shown in FIG. 11B. Thedriving behavior model may have been previously downloaded based onpre-determined scheduling, and then the driving behavior model may beverified for the actual driver 1104 when the driver 1104 logs in. Thedriver 1104 may actively log in, or the driver 1104 may be identified byvarious devices such as, for example, biometric sensors (not shown). Thevarious sensors may be a part of the vehicle 1102 and/or a part of a MAP1103 in the vehicle 1104.

If the driver 1104 is not the regularly scheduled driver and thescheduling program has not yet been updated for the new driver 1104,then a new driving behavior model may need to be downloaded to thevehicle 1102 after, for example, identifying the driver 1104 when thedriver 1104 logs in (or is otherwise identified).

Referring to FIG. 11B, there is shown the vehicle 1102 with theappropriate driving behavior model for the driver 1104. Accordingly, asthe driver 1104 drives the vehicle 1102, the MAP 1103 may continuouslymonitor the driving behavior of the driver 1104 and compare it to thepredetermined driving behavior model for the driver 1104. The MAP 1103may compare, for example, the driver identity, location on the route(street, highway, parking lot, urban driving, suburban driving, ruraldriving, etc.), vehicle type, data sources available, etc.

From this comparison, extraordinary events may be extracted when thedriver's behavior deviates from the expectations of the driving behaviormodel. These events may be categorized, for example, according to theirlevel of deviation, and the system may act as needed to alert the driver1104 to the effects of the deviation. For example, an embodiment of thedisclosure may send a push notification or alarm to an HID on board thevehicle 1102 to alert the driver, record the event for later processingand inclusion in the driving behavior model for driver 1104, and/orperform processing of the data at the vehicle 1102 to update the drivingbehavior model.

For example, when the vehicle 1102 is on a winding road as shown in FIG.11C, the driving behavior model for the driver 1104 may show a certaindriving path in following the road. If the vehicle 1102 starts to moveback and forth in the road, as shown in FIG. 11D, beyond a thresholdamount, an embodiment of the disclosure may alert the driver 1104 viathe HID. For example, the alerting may be one or more of audio (e.g.,tones and/or speech), video (e.g., flashing light(s)), tactile (e.g.,vibrations, puffs of air), etc. Whether the threshold amount is reachedor not, the data may be stored for future use, where the storage may belocal and/or Cloud based.

FIG. 12 shows a flow diagram of an example method of generating adriving behavior model, in accordance with various aspects of thepresent disclosure. Referring to FIG. 12, there is shown the flowdiagram 1200 comprising blocks 1202 to 1210. At block 1202, if there isa driving behavior model for the driver, then that driving behaviormodel may be used as the vehicle is driven. The driving behavior modelmay be updated with further information gathered during the vehicle'sdriving session. If there is not a driving behavior model available forthe driver, then a generic driving behavior model may be used andmodified for the driver using data gathered during the driver's actions.This may be, for example, when a vehicle is rented to a new driver, anew driver takes part in an information gathering program offered by aninsurance company, or a new driver is hired by a fleet. The genericdriving behavior model may be truly generic, or may be modified forvariables such as, for example, types of road, terrain, driver's traits,traffic record, weather, etc. For example, the terrain may bemountainous, the road may be a winding road, the weather may beinclement, the driver may be older and/or infirm, and/or the trafficviolations of the driver in the past.

Such information may be collected and provided for the processor(s),either internal to the vehicle and/or external to the vehicle (e.g., asystem/Cloud server), that may be responsible for processing the data.For example, various processors may coordinate to process a specificportion in generating/updating the driving behavior model. An examplemay be cameras on a bus recording the movements of the driver walking tothe bus and driving the bus. Processing these videos/images may allowsome level of determination of the driver's physical fitness, whetherthe driver appears to be paying attention, whether the driver isreacting as quickly as desired, etc.

At block 1204, the driver 1104 may start driving the vehicle 1102, andthe new data such as, for example, data related to the driver 1104driving the vehicle 1102 (e.g., awareness, speed, hard braking, lanechanges, turns, swerving, etc.), traffic data for the route taken by thedriver 1104, road conditions for the route taken by the driver 1104,etc., may be gathered. These data may be processed for use in thedriving behavior model.

At block 1206, one or more processors may perform data fusion on theprocessed data such that various related data may be grouped as relevantto show a better overall picture of the driving of the vehicle. A simpleexample of data fusion may be, for example, correlating hard braking andswerving as a result of a beach ball rolling out in front of the movingvehicle where the ball was hidden by a parked truck until it emergedonto the street. An autonomous vehicle or a smart vehicle may haveprocessed the beach ball as being indicative of a child chasing afterthe beach ball due to the vehicle being in the proximity of pedestrians,being in a residential area or a beach area, etc. Similarly, the driver1104 may have made a decision by inferring such a situation based on hisawareness of the surroundings.

At block 1208, the newly processed (and fused) data may allow updatingthe driving behavior model for the driver 1104. Accordingly, data fusionmay allow data from various sensors to be used to provide a broadpicture so that the driving behavior model may be made more accurate bytaking into account various factors. The updating of the drivingbehavior model may be a continuous process that happens during the routeof the vehicle 1102.

At block 1210, the driving behavior model may be finalized for the routewhen the route is finished. Various embodiments may allow the finalizeddriving behavior model to be uploaded to the Cloud for future use, alongwith all or a portion of the sensor data collected during route for thevehicle 1102. Various embodiments may also allow uploading portions ofdata during the travel of the vehicle 1102 along its route. Variousembodiments may also have an external processor such as, for example,the system/Cloud server 920 process and/or update the driving behaviormodel and download appropriate changes to the vehicle 1102 as needed ordesired.

FIG. 13 shows a flow diagram of an example method of communicating withthe Cloud, in accordance with various aspects of the present disclosure.Referring to FIG. 13, there is shown a flow diagram 1300 comprisingblocks 1302 to 1306. In block 1302, a vehicle such as, for example, thevehicle 1102 may receive data from various sensors. The data may bestored by the vehicle 1102, and/or the data may be sent to anotherserver such as, for example, the system/Cloud server 920. The data maybe raw data and/or data that may be processed to some extent. Forexample, video data may be partially processed at the vehicle 1102 toremove portions of the route that do not have much information. This maybe, for example, portions of the route where there are no other carsnear the vehicle 1102.

Data that may be considered to be urgent and may affect other vehiclesmay be uploaded to the system/Cloud server 920 so that other vehiclescan be provided warnings. Other non-urgent data may be sent at a latertime via a delay tolerant network (DTN).

At 1304, the vehicle 1102 may connect to a DTN, which may be, forexample, a Wi-Fi network either along the route of the vehicle 1102 orat the end of the route of the vehicle 1102. At 1306, the vehicle 1102may upload the raw data and/or the processed data. Some embodiments mayupload all available data, while other embodiments may upload onlyportions of the data that have not been uploaded previously. The amountof data uploaded may depend on the design and/or implementation that maytake into account, for example, the amount of data already uploaded, theamount of total data, the connection speed of the DTN, the type of datauploaded, etc.

FIG. 14 shows a flow diagram of an example method of providing guidanceto a driver, in accordance with various aspects of the presentdisclosure. Referring to FIG. 14, there is shown a flow diagram 1400comprising blocks 1402 to 1408. In block 1402, a driver of the vehiclemay be determined by the driver logging in, or by identifying the drivervia, for example, biometric identification. The driver may also beidentified via an ID card that may be scanned by the driver or readremotely using, for example, NFC technology.

At block 1404, the driving behavior model, if already downloaded, may beverified that it is for the identified driver. Otherwise, or if thedriving behavior model is not downloaded, yet, the appropriate drivingbehavior model may be downloaded. At block 1406, the vehicle that isbeing driven may be tracked geographically. At block 1408, appropriateguidance may be provided depending on how the driver is complying withthe expected actions for the route. For example, the vehicle may betracked by the driving behavior model as to location, speed, etc., andthe driver may be tracked as to attentiveness, reactions, etc.

Various data may be received from the various devices/sensors in thevehicle and from the devices/sensors associated with the driver. Datamay also be received from one or more servers in the Cloud regarding thedriver and/or the route the vehicle is expected to take. The expectedactions may be compared to the actual actions of the vehicle. If thedeviation of an actual action with respect to the expected action isgreater than a pre-determined threshold, feedback may be provided to thedriver. There may be different thresholds for different actions and/orportions of the route the vehicle may be on.

Various embodiments may also keep track of various conditions of thevehicle and take the vehicle condition into account when providingfeedback and/or warnings. For example, if the vehicle suspension isdetermined to be out of specification, then, rather than provide warningto the driver regarding the swerving or excessive side-to-side movementsof the vehicle, the driver may be notified of the loose suspension.

The thresholds may also differ depending on the road, weather condition,etc. For example, if the weather is particularly windy, the side-to-sidemovement threshold may take into account the additional wind whenproviding feedback and/or warnings to the driver. Accordingly, thethresholds may be modified based on particular conditions of the dayand/or the route.

Accordingly, various embodiments of the disclosure may generate richdata sets that may have not been made available before, and newintelligent transportation services (ITS) may be enabled to uncoverunexplored transportation scenarios. Various embodiments of thedisclosure may also provide third parties with accurate and reliabledriving behavior models for research and/or business modeling purposes.Drivers may also receive live feedback on the way they drive, as well asreceive reviews to enable improvement in their driving. Variousembodiments of the disclosure may also be used to improve drivingbehavior models for the autonomous vehicle industry.

Various embodiments of the disclosure may apply to a multitude ofbusinesses including fleet managers and operators, the autonomousvehicle industry, insurance companies, car rental agencies, etc.Furthermore, the solutions that can be built based on variousembodiments of the disclosure may be used for new business models andideas or in redesign of current business models.

The inclusion of driving behavior data in various product lines mayallow products to be built that can look at the most complex part of alltransportation systems, the decisions and behaviors of drivers, to helpdrivers by coaching them through rough periods of the day and/or route,or by feeding machine learning engines to improve autonomous drivingmechanisms.

While some devices/sensors have been described, there are differentcategories of sensors that can be used to enhance the data collectedand, therefore, the quality of the driving behavior models generated.For example, low resolution cameras may be used for detection of roadfeatures without the resulting data overwhelming the network when it isbeing transmitted. The data provided by this analysis may be useful whenmerged/fused with other data in order to detect road course deviation orzigzagging. Thermal cameras may be used to monitor body temperatures ofthe driver and/or passengers. This may allow matching driving eventswith elevated body temperature(s) in order to identify when or whatevents caused stress or anxiety in the driver/passengers. Smart helmetsmay be used to read and measure brainwave activity via electrodes that,if correctly decoded, may be used as input for driving behavior modelsby understanding what reasoning is behind a driver's action.

Accordingly, it can be seen that various aspects of the disclosure maycomprise methods for receiving data regarding one or more vehiclesdriving on a road, a driver driving the vehicle, and an environment inwhich the vehicle is driving, where the data are provided by one or moreof devices internal to the vehicle and devices external to the vehicle.The data may be processed to correlate with a driving behavior model,and feedback may be provided to the driver based on the correlation ofthe processed data with the driving behavior model.

The devices internal to the vehicle may comprise one or more of anelectronic device possessed by the driver, at least one camera in thevehicle, and an on-board diagnostic system of the vehicle. The devicesexternal to the vehicle may comprise one or more of sensors that are apart of public infrastructure and servers that are configured to provideat least a part of the environment data. The devices external to thevehicle may also provide a system server configured to manage datato/from the vehicle.

The driving behavior model may be downloaded to the vehicle from thesystem server based on information regarding the driver that is drivingthe vehicle, and feedback may be provided to the driver when thecorrelation of the processed data deviates from the driving behaviormodel by more than a pre-determined threshold. The driving behaviormodel may be a generic driving behavior model when the driver isdifferent than an expected driver. The driving behavior model may alsobe updated based on the processed data.

At least some of the received data and/or the processed data may betransmitted to a system server external to the vehicle via, for example,a delay-tolerant network.

Various aspects of the disclosure may also comprise systems for avehicle configured to receive, via a mobile access point (MAP), dataregarding one or more of the vehicle driving on a road, a driver drivingthe vehicle, and an environment in which the vehicle is driving, wherethe data are provided by one or more of devices internal to the vehicleand devices external to the vehicle. The devices internal to the vehiclemay comprise, for example, an electronic device possessed by the driver,at least one camera in the vehicle, and an on-board diagnostic system ofthe vehicle. The devices external to the vehicle may comprise, forexample, at least one sensor that is a part of public infrastructure,and at least one server that is configured to provide at least a part ofthe environment data.

The systems may also comprise at least one processor configured toprocess the data to correlate the processed data with a driving behaviormodel; and provide feedback to the driver based on the correlation ofthe processed data with the driving behavior model.

The feedback may be provided when correlation of the processed datadeviates from the driving behavior model by more than a pre-determinedthreshold. The driving behavior model may be downloaded to the vehiclefrom a system server based on information regarding the driver that isdriving the vehicle. The driving behavior model may be a generic drivingbehavior model when the driver is different than an expected driver.

The processor may be configured to update the driving behavior modelbased on the processed data. The MAP may be configured to transmit to asystem server external to the vehicle at least some of the received dataand/or at least some of the processed data. The received data may betransmitted to the system server when the MAP is connected to adelay-tolerant network.

Various aspects of the disclosure may further comprise a system serverconfigured to receive from a vehicle the data regarding the vehicledriving on a road, a driver driving the vehicle, and an environment inwhich the vehicle is driving, where the system server may be configuredto generate a new driving behavior model and/or generate a modifieddriving behavior model by modifying an existing driving behavior module.The system server may be configured to receive the data when a vehicleis connected to a delay-tolerant network. The system server may befurther configured provide at least one of the new driving behaviormodule and the modified driving behavior module for one or more ofproviding driving feedback to the driver, a driving lesson via drivingsimulator, and/or application development.

Furthermore, while some sensors have been described, various embodimentsof the disclosure need not be so limited. Other sensors may be usedwhether those sensors are now available or will be available in thefuture.

In accordance with various aspects of this disclosure, examples of thenetworks and/or components thereof presented herein are provided in U.S.Provisional Application Ser. No. 62/222,192, titled “CommunicationNetwork of Moving Things,” filed on Sep. 22, 2015, which is herebyincorporated herein by reference in its entirety.

In accordance with various aspects of this disclosure, the networksand/or components thereof presented herein are provided with systems andmethods for integrating such networks and/or components with othernetworks and systems, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/221,997, titled “IntegratedCommunication Network for A Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for synchronizing such networks and/or components,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/222,016, titled “Systems and Methods forSynchronizing a Network of Moving Things,” filed on Sep. 22, 2015, whichis hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing such networks and/or components,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/222,042, titled “Systems and Methods forManaging a Network of Moving Things,” filed on Sep. 22, 2015, which ishereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for monitoring such networks and/or components,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/222,066, titled “Systems and Methods forMonitoring a Network of Moving Things,” filed on Sep. 22, 2015, which ishereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for detecting and/or classifying anomalies insuch networks and/or components, non-limiting examples of which areprovided in U.S. Provisional Application Ser. No. 62/222,077, titled“Systems and Methods for Detecting and Classifying Anomalies in aNetwork of Moving Things,” filed on Sep. 22, 2015, which is herebyincorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing mobility in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,098, titled “Systems and Methodsfor Managing Mobility in a Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing connectivity in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,121, titled “Systems and Methodsfor Managing Connectivity a Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for collecting sensor data in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,135, titled “Systems and Methodsfor Collecting Sensor Data in a Network of Moving Things,” filed on Sep.22, 2015, which is hereby incorporated herein by reference in itsentirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for interfacing with such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,145, titled “Systems and Methodsfor Interfacing with a Network of Moving Things,” filed on Sep. 22,2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for interfacing with a user of such networksand/or components, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,150, titled “Systems and Methodsfor Interfacing with a User of a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for data storage and processing in such networksand/or components, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,168, titled “Systems and Methodsfor Data Storage and Processing for a Network of Moving Things,” filedon Sep. 22, 2015, which is hereby incorporated herein by reference inits entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for vehicle traffic management in such networksand/or components, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,183, titled “Systems and Methodsfor Vehicle Traffic Management in a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for environmental management in such networks and/orcomponents, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/222,186, titled “Systems and Methodsfor Environmental Management in a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing port or shipping operation in suchnetworks and/or components, non-limiting examples of which are providedin U.S. Provisional Application Ser. No. 62/222,190, titled “Systems andMethods for Port Management in a Network of Moving Things,” filed onSep. 22, 2015, which is hereby incorporated herein by reference in itsentirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for enhancing the accuracy of positioning orlocation information based at least in part on historical data,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/244,828, titled “Utilizing Historical Data toCorrect GPS Data in a Network of Moving Things,” filed on Oct. 22, 2015,which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for enhancing the accuracy of position or locationof positioning or location information based at least in part on theutilization of anchors, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/244,930, titled “Using Anchorsto Correct GPS Data in a Network of Moving Things,” filed on Oct. 22,2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for providing communication between applications,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/246,368, titled “Systems and Methods forInter-Application Communication in a Network of Moving Things,” filed onOct. 26, 2015, which is hereby incorporated herein by reference in itsentirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for probing, analyzing and/or validatingcommunication, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/246,372, titled “Systems and Methodsfor Probing and Validating Communication in a Network of Moving Things,”filed on Oct. 26, 2015, which is hereby incorporated herein by referencein its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for adapting communication rate, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/250,544, titled “Adaptive Rate Control for Vehicular Networks,” filedon Nov. 4, 2015, which is hereby incorporated herein by reference in itsentirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for reconfiguring and adapting hardware,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/273,878, titled “Systems and Methods forReconfiguring and Adapting Hardware in a Network of Moving Things,”filed on Dec. 31, 2015, which is hereby incorporated herein by referencein its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for optimizing the gathering of data, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/253,249, titled “Systems and Methods for Optimizing Data Gathering ina Network of Moving Things,” filed on Nov. 10, 2015, which is herebyincorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for performing delay tolerant networking,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/257,421, titled “Systems and Methods for DelayTolerant Networking in a Network of Moving Things,” filed on Nov. 19,2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for improving the coverage and throughput ofmobile access points, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/265,267, titled “Systems andMethods for Improving Coverage and Throughput of Mobile Access Points ina Network of Moving Things,” filed on Dec. 9, 2015, which is herebyincorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for coordinating channel utilization, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/270,858, titled “Channel Coordination in a Network of Moving Things,”filed on Dec. 22, 2015, which is hereby incorporated herein by referencein its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for implementing a network coded mesh network in thenetwork of moving things, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/257,854, titled “Systems andMethods for Network Coded Mesh Networking in a Network of MovingThings,” filed on Nov. 20, 2015, which is hereby incorporated herein byreference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for improving the coverage of fixed access points,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/260,749, titled “Systems and Methods forImproving Fixed Access Point Coverage in a Network of Moving Things,”filed on Nov. 30, 2015, which is hereby incorporated herein by referencein its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing mobility controllers and their networkinteractions, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/273,715, titled “Systems and Methodsfor Managing Mobility Controllers and Their Network Interactions in aNetwork of Moving Things,” filed on Dec. 31, 2015, which is herebyincorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for managing and/or triggering handovers ofmobile access points, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/281,432, titled “Systems andMethods for Managing and Triggering Handovers of Mobile Access Points ina Network of Moving Things,” filed on Jan. 21, 2016, which is herebyincorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for performing captive portal-related control andmanagement, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/268,188, titled “CaptivePortal-related Control and Management in a Network of Moving Things,”filed on Dec. 16, 2015, which is hereby incorporated herein by referencein its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for extrapolating high-value data, non-limitingexamples of which are provided in U.S. Provisional Application Ser. No.62/270,678, titled “Systems and Methods to Extrapolate High-Value Datafrom a Network of Moving Things,” filed on Dec. 22, 2015, which ishereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for providing remote software updating anddistribution, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/272,750, titled “Systems and Methodsfor Remote Software Update and Distribution in a Network of MovingThings,” filed on Dec. 30, 2015, which is hereby incorporated herein byreference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for providing remote configuration updating anddistribution, non-limiting examples of which are provided in U.S.Provisional Application Ser. No. 62/278,662, titled “Systems and Methodsfor Remote Configuration Update and Distribution in a Network of MovingThings,” filed on Jan. 14, 2016, which is hereby incorporated herein byreference in its entirety.

Still further, in accordance with various aspects of this disclosure,the networks and/or components thereof presented herein are providedwith systems and methods for adapting the network, for exampleautomatically, based on user feedback, non-limiting examples of whichare provided in U.S. Provisional Application Ser. No. 62/286,243, titled“Systems and Methods for Adapting a Network of Moving Things Based onUser Feedback,” filed on Jan. 22, 2016, which is hereby incorporatedherein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for enhancing and/or guaranteeing data integritywhen building or performing data analytics, non-limiting examples ofwhich are provided in U.S. Provisional Application Ser. No. 62/278,764,titled “Systems and Methods to Guarantee Data Integrity When BuildingData Analytics in a Network of Moving Things,” Jan. 14, 2016, which ishereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for performing self-initialization and/or automatedbootstrapping of mobile access points, non-limiting examples of whichare provided in U.S. Provisional Application Ser. No. 62/286,515, titled“Systems and Methods for Self-Initialization and Automated Bootstrappingof Mobile Access Points in a Network of Moving Things,” filed on Jan.25, 2016, which is hereby incorporated herein by reference in itsentirety.

Additionally, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for managing power supply and/or utilization,non-limiting examples of which are provided in U.S. ProvisionalApplication Ser. No. 62/295,602, titled “Systems and Methods for PowerManagement in a Network of Moving Things,” filed on Feb. 16, 2016, whichis hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, thenetworks and/or components thereof presented herein are provided withsystems and methods for automating and easing the installation and setupof the infrastructure, non-limiting examples of which are provided inU.S. Provisional Application Ser. No. 62/299,269, titled “Systems andMethods for Automating and Easing the Installation and Setup of theInfrastructure Supporting a Network of Moving Things,” filed on Feb. 24,2016, which is hereby incorporated herein by reference in its entirety.

In summary, various aspects of this disclosure provide communicationnetwork architectures, systems and methods for supporting a network ofmobile nodes, for example comprising a combination of mobile andstationary nodes. As a non-limiting example, various aspects of thisdisclosure provide communication network architectures, systems, andmethods for supporting a dynamically configurable communication networkcomprising a complex array of both static and moving communication nodes(e.g., the Internet of moving things). While the foregoing has beendescribed with reference to certain aspects and examples, it will beunderstood by those skilled in the art that various changes may be madeand equivalents may be substituted without departing from the scope ofthe disclosure. In addition, many modifications may be made to adapt aparticular situation or material to the teachings of the disclosurewithout departing from its scope. Therefore, it is intended that thedisclosure not be limited to the particular example(s) disclosed, butthat the disclosure will include all examples falling within the scopeof the appended claims.

What are claimed:
 1. A method, comprising: receiving data regarding oneor more of a vehicle driving on a road, a driver driving the vehicle,and an environment in which the vehicle is driving, wherein the data areprovided by one or more of devices internal to the vehicle and devicesexternal to the vehicle; processing the data to correlate with a drivingbehavior model; and providing feedback to the driver based on thecorrelation of the processed data with the driving behavior model. 2.The method of claim 1, wherein the devices external to the vehiclecomprises a system server.
 3. The method of claim 1, wherein the devicesinternal to the vehicle comprise one or more of: an electronic devicepossessed by the driver, at least one camera in the vehicle, and anon-board diagnostic system of the vehicle.
 4. The method of claim 1,wherein the devices external to the vehicle comprise one or more of:sensors that are a part of public infrastructure, and servers that areconfigured to provide at least a part of the environment data.
 5. Themethod of claim 1, wherein the feedback is provided when the correlationof the processed data deviates from the driving behavior model by morethan a pre-determined threshold.
 6. The method of claim 1, wherein thedriving behavior model is downloaded to the vehicle from a system serverbased on information regarding the driver that is driving the vehicle.7. The method of claim 6, wherein the driving behavior model is ageneric driving behavior model when the driver is different than anexpected driver.
 8. The method of claim 1, wherein the driving behaviormodel is updated based on the processed data.
 9. The method of claim 1,comprising transmitting to a system server external to the vehicle oneor both of: at least some of the received data; and at least some of theprocessed data.
 10. The method of claim 9, wherein the received data istransmitted to the system server external to the vehicle via adelay-tolerant network.
 11. A system comprising: a vehicle configured toreceive via a mobile access point (MAP), data regarding one or more ofthe vehicle driving on a road, a driver driving the vehicle, and anenvironment in which the vehicle is driving, wherein the data areprovided by one or more of: devices internal to the vehicle comprisingone or more of: an electronic device possessed by the driver; at leastone camera in the vehicle; and an on-board diagnostic system of thevehicle; and devices external to the vehicle comprising one or more of:at least one sensor that is a part of public infrastructure; and atleast one server that is configured to provide at least a part of theenvironment data; and at least one processor configured to: process thedata to correlate the processed data with a driving behavior model; andprovide feedback to the driver based on the correlation of the processeddata with the driving behavior model.
 12. The system of claim 11,wherein the feedback is provided when the correlation of the processeddata deviates from the driving behavior model by more than apre-determined threshold.
 13. The system of claim 11, wherein thedriving behavior model is downloaded to the vehicle from a system serverbased on information regarding the driver that is driving the vehicle.14. The system of claim 13, wherein the driving behavior model is ageneric driving behavior model when the driver is different than anexpected driver.
 15. The system of claim 11, wherein the processor isconfigured to update the driving behavior model based on the processeddata.
 16. The system of claim 11, wherein the MAP is configured totransmit to a system server external to the vehicle one or both of: atleast some of the received data; and at least some of the processeddata.
 17. The system of claim 16, wherein the received data istransmitted to the system server external when the MAP is connected to adelay-tolerant network.
 18. A system, comprising a system serverconfigured to receive from a vehicle, data regarding the vehicle drivingon a road, a driver driving the vehicle, and an environment in which thevehicle is driving, wherein the system server is configured to performone or both of: generate a new driving behavior model; and generate amodified driving behavior model by modifying an existing drivingbehavior module.
 19. The system of claim 18, wherein the system serveris configured to receive the data when the vehicle is connected to adelay-tolerant network.
 20. The system of claim 18, wherein the systemserver is configured provide at least one of the new driving behaviormodule and the modified driving behavior module for one or more of:providing driving feedback to the driver; a driving lesson via drivingsimulator; and application development.